Search results for: agricultural product export
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 5786

Search results for: agricultural product export

4916 Some Agricultural Characteristics of Cephalaria syriaca Lines Selected from a Population and Developed as Winter Type

Authors: Rahim Ada, Ahmet Tamkoç

Abstract:

The research was conducted in the “Randomized Complete Block Design” with three replications in research field of Agricultural Faculty, Selcuk University, Konya, Turkey. In study, a total of 9 Cephalaria syriaca promised lines (9, 37, 38, 42, Beyaz 4, 5 Beyaz, 13 Beyaz, 27 Beyaz, Başaklar 2), which were taken from Sivas population, and 1 population were evaluated in two growing seasons (2012-13 and 2013-14). According to the results, the highest plant height, first branch height, first head height, number of branches per plant, number of head per plant, head diameter,1000 seed weight, seed yield, oil content and oil yield were obtained respectively from Başaklar 2 (68.37 cm), Başaklar 2 (37.80 cm), Başaklar 2 (54.83 cm), 37 (7.73 number/plant), 42 (18.03 number/plant), 9 (10.30 mm), Başaklar 2 (19.33 g), 27 Beyaz (1254.2 kg ha-1), Başaklar 2 (28.77%), and 27 Beyaz (357.9 kg ha-1).

Keywords: Cephalaria syriaca, yield, oil, population

Procedia PDF Downloads 476
4915 A Decentralized Application for Secure Data Handling of Wireless Networks Using Ethereum Smart Contracts

Authors: Midhun Xavier

Abstract:

This paper introduces a method to verify multi-agent systems in industrial control systems using blockchain technology. The proposed solution enables to record and verify each process that occurs while generating a customized product using Ethereum-based smart contracts. Node-Red software agents are developed with the help of semantic web technologies, and these software agents interact with IEC 61499 function blocks to execute the processes. The agent associated with each mechatronic component and its controller can communicate with the blockchain to record various events that occur during each process, and the latter smart contract helps to verify these process orders of the customized product.

Keywords: blockchain, Ethereum, node-red, IEC 61499, multi-agent system, MQTT

Procedia PDF Downloads 95
4914 The Renewed Constitutional Roots of Agricultural Law in Hungary in Line with Sustainability

Authors: Gergely Horvath

Abstract:

The study analyzes the special provisions of the highest level of national agricultural legislation in the Fundamental Law of Hungary (25 April 2011) with descriptive, analytic and comparative methods. The agriculturally relevant articles of the constitution are very important, because –in spite of their high level of abstraction– they can determine and serve the practice comprehensively and effectively. That is why the objective of the research is to interpret the concrete sentences and phrases in connection with agriculture compared with the methods of some other relevant constitutions (historical-grammatical interpretation). The major findings of the study focus on searching for the appropriate provisions and approach capable of solving the problems of sustainable food production. The real challenge agricultural law must face with in the future is protecting or conserving its background and subjects: the environment, the ecosystem services and all the 'roots' of food production. In effect, agricultural law is the legal aspect of the production of 'our daily bread' from farm to table. However, it also must guarantee the safe daily food for our children and for all our descendants. In connection with sustainability, this unique, value-oriented constitution of an agrarian country even deals with uncustomary questions in this level of legislation like GMOs (by banning the production of genetically modified crops). The starting point is that the principle of public good (principium boni communis) must be the leading notion of the norm, which is an idea partly outside the law. The public interest is reflected by the agricultural law mainly in the concept of public health (in connection with food security) and the security of supply with healthy food. The construed Article P claims the general protection of our natural resources as a requirement. The enumeration of the specific natural resources 'which all form part of the common national heritage' also means the conservation of the grounds of sustainable agriculture. The reference of the arable land represents the subfield of law of the protection of land (and soil conservation), that of the water resources represents the subfield of water protection, the reference of forests and the biological diversity visualize the specialty of nature conservation, which is an essential support for agrobiodiversity. The mentioned protected objects constituting the nation's common heritage metonymically melt with their protective regimes, strengthening them and forming constitutional references of law. This regimes also mean the protection of the natural foundations of the life of the living and also the future generations, in the name of intra- and intergenerational equity.

Keywords: agricultural law, constitutional values, natural resources, sustainability

Procedia PDF Downloads 168
4913 Design and Development of an Algorithm to Predict Fluctuations of Currency Rates

Authors: Nuwan Kuruwitaarachchi, M. K. M. Peiris, C. N. Madawala, K. M. A. R. Perera, V. U. N Perera

Abstract:

Dealing with businesses with the foreign market always took a special place in a country’s economy. Political and social factors came into play making currency rate changes fluctuate rapidly. Currency rate prediction has become an important factor for larger international businesses since large amounts of money exchanged between countries. This research focuses on comparing the accuracy of mainly three models; Autoregressive Integrated Moving Average (ARIMA), Artificial Neural Networks(ANN) and Support Vector Machines(SVM). series of data import, export, USD currency exchange rate respect to LKR has been selected for training using above mentioned algorithms. After training the data set and comparing each algorithm, it was able to see that prediction in SVM performed better than other models. It was improved more by combining SVM and SVR models together.

Keywords: ARIMA, ANN, FFNN, RMSE, SVM, SVR

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4912 Approximation of Periodic Functions Belonging to Lipschitz Classes by Product Matrix Means of Fourier Series

Authors: Smita Sonker, Uaday Singh

Abstract:

Various investigators have determined the degree of approximation of functions belonging to the classes W(L r , ξ(t)), Lip(ξ(t), r), Lip(α, r), and Lipα using different summability methods with monotonocity conditions. Recently, Lal has determined the degree of approximation of the functions belonging to Lipα and W(L r , ξ(t)) classes by using Ces`aro-N¨orlund (C 1 .Np)- summability with non-increasing weights {pn}. In this paper, we shall determine the degree of approximation of 2π - periodic functions f belonging to the function classes Lipα and W(L r , ξ(t)) by C 1 .T - means of Fourier series of f. Our theorems generalize the results of Lal and we also improve these results in the light off. From our results, we also derive some corollaries.

Keywords: Lipschitz classes, product matrix operator, signals, trigonometric Fourier approximation

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4911 Development of a Decision Model to Optimize Total Cost in Food Supply Chain

Authors: Henry Lau, Dilupa Nakandala, Li Zhao

Abstract:

All along the length of the supply chain, fresh food firms face the challenge of managing both product quality, due to the perishable nature of the products, and product cost. This paper develops a method to assist logistics managers upstream in the fresh food supply chain in making cost optimized decisions regarding transportation, with the objective of minimizing the total cost while maintaining the quality of food products above acceptable levels. Considering the case of multiple fresh food products collected from multiple farms being transported to a warehouse or a retailer, this study develops a total cost model that includes various costs incurred during transportation. The practical application of the model is illustrated by using several computational intelligence approaches including Genetic Algorithms (GA), Fuzzy Genetic Algorithms (FGA) as well as an improved Simulated Annealing (SA) procedure applied with a repair mechanism for efficiency benchmarking. We demonstrate the practical viability of these approaches by using a simulation study based on pertinent data and evaluate the simulation outcomes. The application of the proposed total cost model was demonstrated using three approaches of GA, FGA and SA with a repair mechanism. All three approaches are adoptable; however, based on the performance evaluation, it was evident that the FGA is more likely to produce a better performance than the other two approaches of GA and SA. This study provides a pragmatic approach for supporting logistics and supply chain practitioners in fresh food industry in making important decisions on the arrangements and procedures related to the transportation of multiple fresh food products to a warehouse from multiple farms in a cost-effective way without compromising product quality. This study extends the literature on cold supply chain management by investigating cost and quality optimization in a multi-product scenario from farms to a retailer and, minimizing cost by managing the quality above expected quality levels at delivery. The scalability of the proposed generic function enables the application to alternative situations in practice such as different storage environments and transportation conditions.

Keywords: cost optimization, food supply chain, fuzzy sets, genetic algorithms, product quality, transportation

Procedia PDF Downloads 224
4910 Synthesis and Solubilization of Flurbiprofen Derivatives and Investigation of Their Biological Activities

Authors: Muhammad Mustaqeem, Musa Kaleem Baloch, Irfan Ullah, Ammarah Luqman, Afshan Ahmad

Abstract:

Flurbiprofen is one of the most potent nonsteroidal anti-inflammatory drugs. It is widely used for relief of pain in patients suffering from rheumatic diseases, migraine, sore throat and primary dysmenorrhea. However, its aqueous solubility is very low and hinders the skin permeation. Thus, it is imperative to develop such a drug delivery systems which can improve its aqueous solubility and hence improve the skin permeation and therapeutic compliance. Microemulsions have been also proven to increase the cutaneous absorption of lipophilic drugs as compared to conventional vehicles. Micro-emulsion is thermodynamically stable emulsion that has the capacity to ‘hide/solubilize’ water-insoluble molecules within a continuous oil phase. Therefore, flurbiprofen was converted to Easters through chemical reactions with alcohols such as methanol, ethanol, propanol and butanol. The product was further treated with hydrazine to get hydrazide. The solubility of the parent drug Flurbiprofen and the products were solubilized in microemulsions formed using various surfactants like ionic, non-ionic and zwitterions. It has been concluded that the product was more soluble than the parent compound. The biological activities of these were also investigated. The outcome was very promising and the product was more active than the parent compound. It, therefore, concluded that in this way, we can not only enhance the solubility of the drug and increase its bioactivity, but also reduce the risk of stomach cancer.

Keywords: Flurbiprofen, microemulsion, surfactants, hyrazides

Procedia PDF Downloads 229
4909 Intelligent Control of Agricultural Farms, Gardens, Greenhouses, Livestock

Authors: Vahid Bairami Rad

Abstract:

The intelligentization of agricultural fields can control the temperature, humidity, and variables affecting the growth of agricultural products online and on a mobile phone or computer. Smarting agricultural fields and gardens is one of the best and best ways to optimize agricultural equipment and has a 100 percent direct effect on the growth of plants and agricultural products and farms. Smart farms are the topic that we are going to discuss today, the Internet of Things and artificial intelligence. Agriculture is becoming smarter every day. From large industrial operations to individuals growing organic produce locally, technology is at the forefront of reducing costs, improving results and ensuring optimal delivery to market. A key element to having a smart agriculture is the use of useful data. Modern farmers have more tools to collect intelligent data than in previous years. Data related to soil chemistry also allows people to make informed decisions about fertilizing farmland. Moisture meter sensors and accurate irrigation controllers have made the irrigation processes to be optimized and at the same time reduce the cost of water consumption. Drones can apply pesticides precisely on the desired point. Automated harvesting machines navigate crop fields based on position and capacity sensors. The list goes on. Almost any process related to agriculture can use sensors that collect data to optimize existing processes and make informed decisions. The Internet of Things (IoT) is at the center of this great transformation. Internet of Things hardware has grown and developed rapidly to provide low-cost sensors for people's needs. These sensors are embedded in IoT devices with a battery and can be evaluated over the years and have access to a low-power and cost-effective mobile network. IoT device management platforms have also evolved rapidly and can now be used securely and manage existing devices at scale. IoT cloud services also provide a set of application enablement services that can be easily used by developers and allow them to build application business logic. Focus on yourself. These development processes have created powerful and new applications in the field of Internet of Things, and these programs can be used in various industries such as agriculture and building smart farms. But the question is, what makes today's farms truly smart farms? Let us put this question in another way. When will the technologies associated with smart farms reach the point where the range of intelligence they provide can exceed the intelligence of experienced and professional farmers?

Keywords: food security, IoT automation, wireless communication, hybrid lifestyle, arduino Uno

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4908 Impact of Fluoride Contamination on Soil and Water at North 24 Parganas, West Bengal, India

Authors: Rajkumar Ghosh

Abstract:

Fluoride contamination is a growing concern in various regions across the globe, including North 24 Parganas in West Bengal, India. The presence of excessive fluoride in the environment can have detrimental effects on crops, soil quality, and water resources. This note aims to shed light on the implications of fluoride contamination and its impact on the agricultural sector in North 24 Parganas. The agricultural lands in North 24 Parganas have been significantly affected by fluoride contamination, leading to adverse consequences for crop production. Excessive fluoride uptake by plants can hinder their growth, reduce crop yields, and impact the quality of agricultural produce. Certain crops, such as paddy, vegetables, and fruits, are more susceptible to fluoride toxicity, resulting in stunted growth, leaf discoloration, and reduced nutritional value. Fluoride-contaminated water, often used for irrigation, contributes to the accumulation of fluoride in the soil. Over time, this can lead to soil degradation and reduced fertility. High fluoride levels can alter soil pH, disrupt the availability of essential nutrients, and impair microbial activity critical for nutrient cycling. Consequently, the overall health and productivity of the soil are compromised, making it increasingly challenging for farmers to sustain agricultural practices. Fluoride contamination in North 24 Parganas extends beyond the soil and affects water resources as well. The excess fluoride seeps into groundwater, making it unsafe for consumption. Long-term consumption of fluoride-contaminated water can lead to various health issues, including dental and skeletal fluorosis. These health concerns pose significant risks to the local population, especially those reliant on contaminated water sources for their daily needs. Addressing fluoride contamination requires concerted efforts from various stakeholders, including government authorities, researchers, and farmers. Implementing appropriate water treatment technologies, such as defluoridation units, can help reduce fluoride levels in drinking water sources. Additionally, promoting alternative irrigation methods and crop diversification strategies can aid in mitigating the impact of fluoride on agricultural productivity. Furthermore, creating awareness among farmers about the adverse effects of fluoride contamination and providing access to alternative water sources are crucial steps toward safeguarding the health of the community and sustaining agricultural activities in the region. Fluoride contamination poses significant challenges to crop production, soil health, and water resources in North 24 Parganas, West Bengal. It is imperative to prioritize efforts to address this issue effectively and implement appropriate measures to mitigate fluoride contamination. By adopting sustainable practices and promoting awareness, the community can work towards restoring the agricultural productivity, soil quality and ensuring access to safe drinking water in the region.

Keywords: fluoride contamination, drinking water, toxicity, soil health

Procedia PDF Downloads 115
4907 Nutraceutical Characterization of Optimized Shatavari Asparagus racemosus Willd (Asparagaceae) Low Alcohol Nutra Beverage

Authors: Divya Choudhary, Hariprasad P., S. N. Naik

Abstract:

This study examines a low-alcohol nutra-beverage made with shatavari, a plant commonly used in traditional medicine. During fermentation, the addition of a specific strain of yeast affected the beverage's properties, including its pH level, yeast count, ethanol content, and antioxidant, phenolic, and flavonoid levels. We also analyzed the beverage's storage and shelf life. Despite its bitter taste, the low alcohol content of the beverage made it enjoyable to drink and visually appealing. Our analysis showed that the optimal time for fermentation was between the 14th and 21st day when the beverage had ideal levels of sugar, organic acids, and vitamins. The final product contained fructose and citric acid but not succinic, pyruvic, lactic, or acetic acids. It also contained vitamins B2, B1, B12, and B9. During the shelf life analysis, we observed changes in the beverage's pH, TSS, and cfu levels, as well as its antioxidant activity. We also identified volatile (GC-MS) and non-volatile compounds (LC-MS/MS) in the fermented product, some of which were already present in the Shatavari root. The highest yield of product contained the maximum concentration of antioxidant compounds, which depended on both the pH and the microorganisms' physiological status. Overall, our study provides insight into the properties and potential health benefits of this Nutra-beverage.

Keywords: antioxidants, fermentation, volatile compounds, acetonin, 1-butanol, non-volatile compounds, Shatavarin V, IX, kaempferol

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4906 A Comparison of YOLO Family for Apple Detection and Counting in Orchards

Authors: Yuanqing Li, Changyi Lei, Zhaopeng Xue, Zhuo Zheng, Yanbo Long

Abstract:

In agricultural production and breeding, implementing automatic picking robot in orchard farming to reduce human labour and error is challenging. The core function of it is automatic identification based on machine vision. This paper focuses on apple detection and counting in orchards and implements several deep learning methods. Extensive datasets are used and a semi-automatic annotation method is proposed. The proposed deep learning models are in state-of-the-art YOLO family. In view of the essence of the models with various backbones, a multi-dimensional comparison in details is made in terms of counting accuracy, mAP and model memory, laying the foundation for realising automatic precision agriculture.

Keywords: agricultural object detection, deep learning, machine vision, YOLO family

Procedia PDF Downloads 202
4905 Multivariate Ecoregion Analysis of Nutrient Runoff From Agricultural Land Uses in North America

Authors: Austin P. Hopkins, R. Daren Harmel, Jim A Ippolito, P. J. A. Kleinman, D. Sahoo

Abstract:

Field-scale runoff and water quality data are critical to understanding the fate and transport of nutrients applied to agricultural lands and minimizing their off-site transport because it is at that scale that agricultural management decisions are typically made based on hydrologic, soil, and land use factors. However, regional influences such as precipitation, temperature, and prevailing cropping systems and land use patterns also impact nutrient runoff. In the present study, the recently-updated MANAGE (Measured Annual Nutrient loads from Agricultural Environments) database was used to conduct an ecoregion-level analysis of nitrogen and phosphorus runoff from agricultural lands in the North America. Specifically, annual N and P runoff loads for cropland and grasslands in North American Level II EPA ecoregions were presented, and the impact of factors such as land use, tillage, and fertilizer timing and placement on N and P runoff were analyzed. Specifically we compiled annual N and P runoff load data (i.e., dissolved, particulate, and total N and P, kg/ha/yr) for each Level 2 EPA ecoregion and for various agricultural management practices (i.e., land use, tillage, fertilizer timing, fertilizer placement) within each ecoregion to showcase the analyses possible with the data in MANAGE. Potential differences in N and P runoff loads were evaluated between and within ecoregions with statistical and graphical approaches. Non-parametric analyses, mainly Mann-Whitney tests were conducted on median values weighted by the site years of data utilizing R because the data were not normally distributed, and we used Dunn tests and box and whisker plots to visually and statistically evaluate significant differences. Out of the 50 total North American Ecoregions, 11 were found that had significant data and site years to be utilized in the analysis. When examining ecoregions alone, it was observed that ER 9.2 temperate prairies had a significantly higher total N at 11.7 kg/ha/yr than ER 9.4 South Central Semi Arid Prairies with a total N of 2.4. When examining total P it was observed that ER 8.5 Mississippi Alluvial and Southeast USA Coastal Plains had a higher load at 3.0 kg/ha/yr than ER 8.2 Southeastern USA Plains with a load of 0.25 kg/ha/yr. Tillage and Land Use had severe impacts on nutrient loads. In ER 9.2 Temperate Prairies, conventional tillage had a total N load of 36.0 kg/ha/yr while conservation tillage had a total N load of 4.8 kg/ha/yr. In all relevant ecoregions, when corn was the predominant land use, total N levels significantly increased compared to grassland or other grains. In ER 8.4 Ozark-Ouachita, Corn had a total N of 22.1 kg/ha/yr while grazed grassland had a total N of 2.9 kg/ha/yr. There are further intricacies of the interactions that agricultural management practices have on one another combined with ecological conditions and their impacts on the continental aquatic nutrient loads that still need to be explored. This research provides a stepping stone to further understanding of land and resource stewardship and best management practices.

Keywords: water quality, ecoregions, nitrogen, phosphorus, agriculture, best management practices, land use

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4904 Construction of Green Aggregates from Waste Processing

Authors: Fahad K. Alqahtani

Abstract:

Nowadays construction industry is developing means to incorporate waste products in concrete to ensure sustainability. To meet the need of construction industry, a synthetic aggregate was developed using optimized technique called compression moulding press technique. The manufactured aggregate comprises mixture of plastic, waste which acts as binder, together with by-product waste which acts as fillers. The physical properties and microstructures of the inert materials and the manufactured aggregate were examined and compared with the conventional available aggregates. The outcomes suggest that the developed aggregate has potential to be used as substitution of conventional aggregate due to its less weight and water absorption. The microstructure analysis confirmed the efficiency of the manufacturing process where the final product has the same mixture of binder and filler.

Keywords: fly ash, plastic waste, quarry fine, red sand, synthetic aggregate

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4903 Factors Associated with Pesticides Used and Plasma Cholinesterase Level among Agricultural Workers in Rural Area, Thailand

Authors: Pirakorn Sukonthaman, Paphitchaya Temphattharachok, Warangkana Thammasanya, Kraichart Tantrakarnarpa, Tanongson Tientavorn

Abstract:

Agriculture is the main occupation in Thailand. Excessive amount of pesticides are used to increase the products but are toxic to human body. In 2009, Bureau of Epidemiology received 1,691 cases reported with pesticides toxicity (2.66:100,000) which 10.61 % of them is caused by Organophosphate. The purposes are to find factors associated with pesticides used and plasma cholinesterase level and other emerging issues that previous studies did not explain among agricultural workers in Baan Na Yao, Chachoengsao, Thailand. This research was an exploratory mixed method study. Qualitative interviews and quantitative questionnaires were used together in order to gather information from the agricultural workers (mainly cassava and rice farming) directly exposed to pesticides within 2 months simultaneously. Qualitative participants were selected by purposive sampling and a total survey for quantitative ones. The quantitative data was statistically analyzed by using multiple logistic regression model. Qualitative data was transcribed verbatim and thematically analyzed. For qualitative study, 15 participants were interviewed and 300/323 participants (92.88%) were given questionnaires, of which were 175 male and 125 female and 113 among them were spraymen. The prevalence of abnormal plasma cholinesterase level was 92.28% (Safe 7.72% Risky 49.33% and Unsafe 42.95%). Participants with inappropriate behaviors during spraying had a significant association with plasma cholinesterase level (95%CI=1.399-14.858) but other factors such as age, gender, education, attitude and knowledge had no association. They also had encountered various symptoms from pesticides such as fatigue (61%), vertigo (59.67%) and headache (58.86%), etc. Although they had high knowledge and attitude they still had poor behaviors. Moreover, our qualitative component showed that though they had worn the personal protective equipment (PPE) regularly, their PPE was not standard. Not only substandard PPE, but also there were obstacles of wearing such as the hot climate and inconvenience. They misunderstood their symptoms from using pesticides as allergy. Therefore, they did not seek for proper medical check-ups and treatment. This research revealed almost all of the participants have abnormal levels of plasma cholinesterase related especially those with poor behaviors. They also wore PPE but inadequately and misunderstood the symptoms produced by organophosphate use as allergy. Therefore, they did not seek for medical treatment. Occupation health education, modification of PPE and periodic medical checking are ways to make agricultural workers concern and know if there is any progression in a long term.

Keywords: pesticides, plasma cholinesterase level, spraymen, agricultural workers

Procedia PDF Downloads 354
4902 Urban Agriculture Potential and Challenges in Mid-Sized Cities: A Case Study of Neishabour, Iran

Authors: Mohammadreza Mojtahedi

Abstract:

Urban agriculture, in the face of burgeoning urban populations and unchecked urbanization, presents a promising avenue for sustainable economic, social, and environmental growth. This study, set against the backdrop of Neishabour, Iran, delves into the potential and challenges inherent in this domain. Utilizing a descriptive-analytical approach, field survey data were predominantly collated via questionnaires. The research rigor was upheld with the Delphi method affirming the validity and a Cronbach's alpha score exceeding 0.70, underscoring reliability. The study encompassed Neishabour's 2016 populace, pegged at 264,375, drawing a sample size of 384 via Cochran's formula. The findings spotlight Neishabour's pronounced agricultural prowess, as evidenced by a significance level under 0.05 and an average difference of 0.54. Engaging in urban agricultural ventures can notably elevate job quality, spur savings, bolster profitability, promote organic cultivation, and streamline production expenses. However, challenges, such as heightened land valuations for alternative uses, conflicting land engagements, security dilemmas, technical impediments, waning citizen interest, regulatory conundrums, and perceived upfront investment risks, were identified. A silver lining emerged with urban locales, especially streets and boulevards, securing average ratings of 3.90, marking them as prime contenders for urban agricultural endeavors.

Keywords: urban agriculture, sustainable development, mid-sized cities, neishabour.

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4901 Balancing Biodiversity and Agriculture: A Broad-Scale Analysis of the Land Sparing/Land Sharing Trade-Off for South African Birds

Authors: Chevonne Reynolds, Res Altwegg, Andrew Balmford, Claire N. Spottiswoode

Abstract:

Modern agriculture has revolutionised the planet’s capacity to support humans, yet has simultaneously had a greater negative impact on biodiversity than any other human activity. Balancing the demand for food with the conservation of biodiversity is one of the most pressing issues of our time. Biodiversity-friendly farming (‘land sharing’), or alternatively, separation of conservation and production activities (‘land sparing’), are proposed as two strategies for mediating the trade-off between agriculture and biodiversity. However, there is much debate regarding the efficacy of each strategy, as this trade-off has typically been addressed by short term studies at fine spatial scales. These studies ignore processes that are relevant to biodiversity at larger scales, such as meta-population dynamics and landscape connectivity. Therefore, to better understand species response to agricultural land-use and provide evidence to underpin the planning of better production landscapes, we need to determine the merits of each strategy at larger scales. In South Africa, a remarkable citizen science project - the South African Bird Atlas Project 2 (SABAP2) – collates an extensive dataset describing the occurrence of birds at a 5-min by 5-min grid cell resolution. We use these data, along with fine-resolution data on agricultural land-use, to determine which strategy optimises the agriculture-biodiversity trade-off in a southern African context, and at a spatial scale never considered before. To empirically test this trade-off, we model bird species population density, derived for each 5-min grid cell by Royle-Nicols single-species occupancy modelling, against both the amount and configuration of different types of agricultural production in the same 5-min grid cell. In using both production amount and configuration, we can show not only how species population densities react to changes in yield, but also describe the production landscape patterns most conducive to conservation. Furthermore, the extent of both the SABAP2 and land-cover datasets allows us to test this trade-off across multiple regions to determine if bird populations respond in a consistent way and whether results can be extrapolated to other landscapes. We tested the land sparing/sharing trade-off for 281 bird species across three different biomes in South Africa. Overall, a higher proportion of species are classified as losers, and would benefit from land sparing. However, this proportion of loser-sparers is not consistent and varies across biomes and the different types of agricultural production. This is most likely because of differences in the intensity of agricultural land-use and the interactions between the differing types of natural vegetation and agriculture. Interestingly, we observe a higher number of species that benefit from agriculture than anticipated, suggesting that agriculture is a legitimate resource for certain bird species. Our results support those seen at smaller scales and across vastly different agricultural systems, that land sparing benefits the most species. However, our analysis suggests that land sparing needs to be implemented at spatial scales much larger than previously considered. Species persistence in agricultural landscapes will require the conservation of large tracts of land, and is an important consideration in developing countries, which are undergoing rapid agricultural development.

Keywords: agriculture, birds, land sharing, land sparing

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4900 Introduction of Para-Sasaki-Like Riemannian Manifolds and Construction of New Einstein Metrics

Authors: Mancho Manev

Abstract:

The concept of almost paracontact Riemannian manifolds (abbr., apcR manifolds) was introduced by I. Sato in 1976 as an analogue of almost contact Riemannian manifolds. The notion of an apcR manifold of type (p,q) was defined by S. Sasaki in 1980, where p and q are respectively the numbers of the multiplicity of the structure eigenvalues 1 and -1. It also has a simple eigenvalue of 0. In our work, we consider (2n+1)-dimensional apcR manifolds of type (n,n), i.e., the paracontact distribution of the studied manifold can be considered as a 2n-dimensional almost paracomplex Riemannian distribution with almost paracomplex structure and structure group O(n) × O(n). The aim of the present study is to introduce a new class of apcR manifolds. Such a manifold is obtained using the construction of a certain Riemannian cone over it, and the resulting manifold is a paraholomorphic paracomplex Riemannian manifold (abbr., phpcR manifold). We call it a para-Sasaki-like Riemannian manifold (abbr., pSlR manifold) and give some explicit examples. We study the structure of pSlR spaces and find that the paracontact form η is closed and each pSlR manifold locally can be considered as a certain product of the real line with a phpcR manifold, which is locally a Riemannian product of two equidimensional Riemannian spaces. We also obtain that the curvature of the pSlR manifolds is completely determined by the curvature of the underlying local phpcR manifold. Moreover, the ξ-directed Ricci curvature is equal to -2n, while in the Sasaki case, it is 2n. Accordingly, the pSlR manifolds can be interpreted as the counterpart of the Sasaki manifolds; the skew-symmetric part of ∇η vanishes, while in the Sasaki case, the symmetric part vanishes. We define a hyperbolic extension of a (complete) phpcR manifold that resembles a certain warped product, and we indicate that it is a (complete) pSlR manifold. In addition, we consider the hyperbolic extension of a phpcR manifold and prove that if the initial manifold is a complete Einstein manifold with negative scalar curvature, then the resulting manifold is a complete Einstein pSlR manifold with negative scalar curvature. In this way, we produce new examples of a complete Einstein Riemannian manifold with negative scalar curvature. Finally, we define and study para contact conformal/homothetic deformations by deriving a subclass that preserves the para-Sasaki-like condition. We then find that if we apply a paracontact homothetic deformation of a pSlR space, we obtain that the Ricci tensor is invariant.

Keywords: almost paracontact Riemannian manifolds, Einstein manifolds, holomorphic product manifold, warped product manifold

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4899 Purification of Bacillus Lipopeptides for Diverse Applications

Authors: Vivek Rangarajan, Kim G. Clarke

Abstract:

Bacillus lipopeptides are biosurfactants with wide ranging applications in the medical, food, agricultural, environmental and cosmetic industries. They are produced as a mix of three families, surfactin, iturin and fengycin, each comprising a large number of homologues of varying functionalities. Consequently, the method and degree of purification of the lipopeptide cocktail becomes particularly important if the functionality of the lipopeptide end-product is to be maximized for the specific application. However, downstream processing of Bacillus lipopeptides is particularly challenging due to the subtle variations observed in the different lipopeptide homologues and isoforms. To date, the most frequently used lipopeptide purification operations have been acid precipitation, solvent extraction, membrane ultrafiltration, adsorption and size exclusion. RP-HPLC (reverse phase high pressure liquid chromatography) also has potential for fractionation of the lipopeptide homologues. In the studies presented here, membrane ultrafiltration and RP-HPLC were evaluated for lipopeptide purification to different degrees of purities for maximum functionality. Batch membrane ultrafiltration using 50 kDa polyether sulphone (PES) membranes resulted in lipopeptide recovery of about 68% for surfactin and 82 % for fengycin. The recovery was further improved to 95% by using size-conditioned lipopeptide micelles. The conditioning of lipopeptides with Ca2+ ions resulted in uniformly sized micelles with average size of 96.4 nm and a polydispersity index of 0.18. The size conditioning also facilitated removal of impurities (molecular weight ranging between 2335-3500 Da) through operation of the system under dia-filtration mode, in a way similar to salt removal from protein by dialysis. The resultant purified lipopeptide was devoid of macromolecular impurities and could ideally suit applications in the cosmetic and food industries. Enhanced purification using RP-HPLC was carried out in an analytical C18 column, with the aim to fractionate lipopeptides into their constituent homologues. The column was eluted with mobile phase comprising acetonitrile and water over an acetonitrile gradient, 35% - 80%, over 70 minutes. The gradient elution program resulted in as many as 41 fractions of individual lipopeptide homologues. The efficacy test of these fractions against fungal phytopathogens showed that first 21 fractions, identified to be homologues of iturins and fengycins, displayed maximum antifungal activities, suitable for biocontrol in the agricultural industry. Thus, in the current study, the downstream processing of lipopeptides leading to tailor-made products for selective applications was demonstrated using two major downstream unit operations.

Keywords: bacillus lipopeptides, membrane ultrafiltration, purification, RP-HPLC

Procedia PDF Downloads 207
4898 Correlation between the Sowing Date and Yield of Maize on Chernozem Soil, in Connection with the Leaf Area Index and Photosynthesis

Authors: Enikő Bene

Abstract:

Our sowing date experiment took place in the Demonstration Garden of Institution of Plant Sciences, Agricultural Center of University of Debrecen, in 2012-2014. The thesis contains data of test year 2014. Our purpose, besides several other examinations, was to observe how sowing date influences leaf area index and activity of photosynthesis of maize hybrids, and how those factors affect fruiting. In the experiment we monitored the change of the leaf area index and the photosynthesis of hybrids with four different growing seasons. The results obtained confirm that not only the environmental and agricultural factors in the growing season have effect on the yield, but also other factors like the leaf area index and the photosynthesis are determinative parameters, and all those factors together, modifying effects of each other, develop average yields

Keywords: sowing date, hybrid, leaf area index, photosynthetic capacity

Procedia PDF Downloads 334
4897 Effect of Enzymatic Hydrolysis and Ultrasounds Pretreatments on Biogas Production from Corn Cob

Authors: N. Pérez-Rodríguez, D. García-Bernet, A. Torrado-Agrasar, J. M. Cruz, A. B. Moldes, J. M. Domínguez

Abstract:

World economy is based on non-renewable, fossil fuels such as petroleum and natural gas, which entails its rapid depletion and environmental problems. In EU countries, the objective is that at least 20% of the total energy supplies in 2020 should be derived from renewable resources. Biogas, a product of anaerobic degradation of organic substrates, represents an attractive green alternative for meeting partial energy needs. Nowadays, trend to circular economy model involves efficiently use of residues by its transformation from waste to a new resource. In this sense, characteristics of agricultural residues (that are available in plenty, renewable, as well as eco-friendly) propitiate their valorisation as substrates for biogas production. Corn cob is a by-product obtained from maize processing representing 18 % of total maize mass. Corn cob importance lies in the high production of this cereal (more than 1 x 109 tons in 2014). Due to its lignocellulosic nature, corn cob contains three main polymers: cellulose, hemicellulose and lignin. Crystalline, highly ordered structures of cellulose and lignin hinders microbial attack and subsequent biogas production. For the optimal lignocellulose utilization and to enhance gas production in anaerobic digestion, materials are usually submitted to different pretreatment technologies. In the present work, enzymatic hydrolysis, ultrasounds and combination of both technologies were assayed as pretreatments of corn cob for biogas production. Enzymatic hydrolysis pretreatment was started by adding 0.044 U of Ultraflo® L feruloyl esterase per gram of dry corncob. Hydrolyses were carried out in 50 mM sodium-phosphate buffer pH 6.0 with a solid:liquid proportion of 1:10 (w/v), at 150 rpm, 40 ºC and darkness for 3 hours. Ultrasounds pretreatment was performed subjecting corn cob, in 50 mM sodium-phosphate buffer pH 6.0 with a solid: liquid proportion of 1:10 (w/v), at a power of 750W for 1 minute. In order to observe the effect of the combination of both pretreatments, some samples were initially sonicated and then they were enzymatically hydrolysed. In terms of methane production, anaerobic digestion of the corn cob pretreated by enzymatic hydrolysis was positive achieving 290 L CH4 kg MV-1 (compared with 267 L CH4 kg MV-1 obtained with untreated corn cob). Although the use of ultrasound as the only pretreatment resulted detrimentally (since gas production decreased to 244 L CH4 kg MV-1 after 44 days of anaerobic digestion), its combination with enzymatic hydrolysis was beneficial, reaching the highest value (300.9 L CH4 kg MV-1). Consequently, the combination of both pretreatments improved biogas production from corn cob.

Keywords: biogas, corn cob, enzymatic hydrolysis, ultrasound

Procedia PDF Downloads 268
4896 Glycerol-Based Bio-Solvents for Organic Synthesis

Authors: Dorith Tavor, Adi Wolfson

Abstract:

In the past two decades a variety of green solvents have been proposed, including water, ionic liquids, fluorous solvents, and supercritical fluids. However, their implementation in industrial processes is still limited due to their tedious and non-sustainable synthesis, lack of experimental data and familiarity, as well as operational restrictions and high cost. Several years ago we presented, for the first time, the use of glycerol-based solvents as alternative sustainable reaction mediums in both catalytic and non-catalytic organic synthesis. Glycerol is the main by-product from the conversion of oils and fats in oleochemical production. Moreover, in the past decade, its price has substantially decreased due to an increase in supply from the production and use of fatty acid derivatives in the food, cosmetics, and drugs industries and in biofuel synthesis, i.e., biodiesel. The renewable origin, beneficial physicochemical properties and reusability of glycerol-based solvents, enabled improved product yield and selectivity as well as easy product separation and catalyst recycling. Furthermore, their high boiling point and polarity make them perfect candidates for non-conventional heating and mixing techniques such as ultrasound- and microwave-assisted reactions. Finally, in some reactions, such as catalytic transfer-hydrogenation or transesterification, they can also be used simultaneously as both solvent and reactant. In our ongoing efforts to design a viable protocol that will facilitate the acceptance of glycerol and its derivatives as sustainable solvents, pure glycerol and glycerol triacetate (triacetin) as well as various glycerol-triacetin mixtures were tested as sustainable solvents in several representative organic reactions, such as nucleophilic substitution of benzyl chloride to benzyl acetate, Suzuki-Miyaura cross-coupling of iodobenzene and phenylboronic acid, baker’s yeast reduction of ketones, and transfer hydrogenation of olefins. It was found that reaction performance was affected by the glycerol to triacetin ratio, as the solubility of the substrates in the solvent determined product yield. Thereby, employing optimal glycerol to triacetin ratio resulted in maximum product yield. In addition, using glycerol-based solvents enabled easy and successful separation of the products and recycling of the catalysts.

Keywords: glycerol, green chemistry, sustainability, catalysis

Procedia PDF Downloads 624
4895 The Mitigation of Human Trafficking through Agricultural Development: A Proactive International Approach

Authors: Brianna Douglas

Abstract:

A literary Meta-Analysis was conducted in order to form a proactive solution to the systematic issue of international human trafficking stemming from the Asia-Pacific region. This approach seeks to resolve the low economic prospect for women in the region, along with other identified drivers, to mitigate human trafficking before it begins. Through the reallocation of aid in agriculture, implementation of an education-for-education model, and provision of access to market information to the women in rural regions, the retraction of both the supply and international demand curves of trafficked humans is possible; resulting in the shutdown of the market as a whole. This report provides a basic and adaptable proposal to mitigation the selling of Asia Pacific women within international trafficking schemes with byproduct effects of increasing food, sustainability and decreasing government spending.

Keywords: human trafficking, agricultural development, Asia Pacific, women's empowerment

Procedia PDF Downloads 155
4894 Construction and Analysis of Partially Balanced Sudoku Design of Prime Order

Authors: Abubakar Danbaba

Abstract:

Sudoku squares have been widely used to design an experiment where each treatment occurs exactly once in each row, column or sub-block. For some experiments, the size of row (or column or sub-block) may be larger than the number of treatments. Since each treatment appears only once in each row (column or sub-block) with an additional empty cell such designs are partially balanced Sudoku designs (PBSD) with NP-complete structures. This paper proposed methods for constructing PBSD of prime order of treatments by a modified Kronecker product and swap of matrix row (or column) in cyclic order. In addition, linear model and procedure for the analysis of data for PBSD are proposed.

Keywords: sudoku design, partial sudoku, NP-complete, Kronecker product, row and column swap

Procedia PDF Downloads 274
4893 RNA Interference Technology as a Veritable Tool for Crop Improvement and Breeding for Biotic Stress Resistance

Authors: M. Yusuf

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The recent discovery of the phenomenon of RNA interference has led to its application in various aspects of plant improvement. Crops can be modified by engineering novel RNA interference pathways that create small RNA molecules to alter gene expression in crops or plant pests. RNA interference can generate new crop quality traits or provide protection against insects, nematodes and pathogens without introducing new proteins into food and feed products. This is an advantage in contrast with conventional procedures of gene transfer. RNA interference has been used to develop crop varieties resistant to diseases, pathogens and insects. Male sterility has been engineered in plants using RNA interference. Better quality crops have been developed through the application of RNA interference etc. The objective of this paper is to highlight the application of RNA interference in crop improvement and to project its potential future use to solve problems of agricultural production in relation to plant breeding.

Keywords: RNA interference, application, crop Improvement, agricultural production

Procedia PDF Downloads 428
4892 The Development of an Accident Causation Model Specific to Agriculture: The Irish Farm Accident Causation Model

Authors: Carolyn Scott, Rachel Nugent

Abstract:

The agricultural industry in Ireland and worldwide is one of the most dangerous occupations with respect to occupational health and safety accidents and fatalities. Many accident causation models have been developed in safety research to understand the underlying and contributory factors that lead to the occurrence of an accident. Due to the uniqueness of the agricultural sector, current accident causation theories cannot be applied. This paper presents an accident causation model named the Irish Farm Accident Causation Model (IFACM) which has been specifically tailored to the needs of Irish farms. The IFACM is a theoretical and practical model of accident causation that arranges the causal factors into a graphic representation of originating, shaping, and contributory factors that lead to accidents when unsafe acts and conditions are created that are not rectified by control measures. Causes of farm accidents were assimilated by means of a thorough literature review and were collated to form a graphical representation of the underlying causes of a farm accident. The IFACM was validated retrospectively through case study analysis and peer review. Participants in the case study (n=10) identified causes that led to a farm accident in which they were involved. A root cause analysis was conducted to understand the contributory factors surrounding the farm accident, traced back to the ‘root cause’. Experts relevant to farm safety accident causation in the agricultural industry have peer reviewed the IFACM. The accident causation process is complex. Accident prevention requires a comprehensive understanding of this complex process because to prevent the occurrence of accidents, the causes of accidents must be known. There is little research on the key causes and contributory factors of unsafe behaviours and accidents on Irish farms. The focus of this research is to gain a deep understanding of the causality of accidents on Irish farms. The results suggest that the IFACM framework is helpful for the analysis of the causes of accidents within the agricultural industry in Ireland. The research also suggests that there may be international applicability if further research is carried out. Furthermore, significant learning can be obtained from considering the underlying causes of accidents.

Keywords: farm safety, farm accidents, accident causation, root cause analysis

Procedia PDF Downloads 79
4891 Water Management of Polish Agriculture and Adaptation to Climate Change

Authors: Dorota M. Michalak

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The agricultural sector, due to the growing demand for food and over-exploitation of the natural environment, contributes to the deepening of climate change, on the one hand, and on the other hand, shrinking freshwater resources, as a negative effect of climate change, threaten the food security of each country. Therefore, adaptation measures to climate change should take into account effective water management and seek solutions ensuring food production at an unchanged or higher level, while not burdening the environment and not contributing to the worsening of the negative consequences of climate change. The problems of Poland's water management result not only from relatively small, natural water resources but to a large extent on the low efficiency of their use. Appropriate agricultural practices and state solutions in this field can contribute to achieving significant benefits in terms of economical water management in agriculture, providing a greater amount of water that could also be used for other purposes, including for purposes related to environmental protection. The aim of the article is to determine the level of use of water resources in Polish agriculture and the advancement of measures aimed at adapting Polish agriculture in the field of water management to climate change. The study provides knowledge about Polish legal regulations and water management tools, the shaping of water policy of Polish agriculture against the background of EU countries and other sources of energy, and measures supporting Polish agricultural holdings in the effective management of water resources run by state budget institutions. In order to achieve the above-mentioned goals, the author used research tools such as the analysis of existing sources and a survey conducted among five groups of entities, i.e. agricultural advisory centers and departments, agricultural, rural and environmental protection departments, regional water management boards, provincial agricultural chambers and restructuring and modernization of agriculture. The main conclusion of the analyses carried out is the low use of water in Polish agriculture in relation to other EU countries, other sources of intake in Poland, as well as irrigation. The analysis allows us to observe another problem, which is the lack of reporting and data collection, which is extremely important from the point of view of the effectiveness of adaptation measures to climate change. The results obtained from the survey indicate a very low level of support for government institutions in the implementation of adaptation measures to climate change and the water management of Polish farms. Some of the basic problems of the adaptation policy to change climate with regard to water management in Polish agriculture include a lack of knowledge regarding climate change, the possibilities of adapting, the available tools or ways to rationalize the use of water resources. It also refers to the lack of ordering procedures and the separation of responsibility with a proper territorial unit, non-functioning channels of information flow and practically low effects.

Keywords: water management, adaptation policy, agriculture, climate change

Procedia PDF Downloads 143
4890 Agrarian Transitions and Rural Social Relations in Jharkhand, India

Authors: Avinash

Abstract:

Rural Jharkhand has attracted lesser attention in the field of agrarian studies in India, despite more than eighty percent of its rural population being directly dependent on agriculture as their primary source of livelihood. The limited studies on agrarian issues in Jharkhand have focused predominantly on the subsistence nature of agriculture and low crop productivity. There has also not been much research on agrarian social relations between ‘tribe’ and ‘non-tribe’ communities in the region. This paper is an attempt to understand changing agrarian social relations between tribal and non-tribal communities relating them to different kinds of agrarian transitions taking place in two districts of Jharkhand - Palamu and Khunti. In the Palamu region, agrarian relations are dominated by the presence and significant population size of Hindu high caste land owners, whereas in the Khunti region, agrarian relations are characterized by the population size and dominance of tribes and lower caste land owner cum cultivators. The agrarian relations between ‘upper castes’ and ‘tribes’ in these regions are primarily related to agricultural daily wage labour. However, the agrarian social relations between Dalits and tribal people take the form of ‘communal system of labour exchange’ and ‘household-based labour’. In addition, the ethnographic study of the region depicts steady agrarian transitions (especially shift from indigenous to ‘High Yielding Variety’ (HYV) paddy seeds and growing vegetable cultivation) where ‘Non-Governmental Organizations’ (NGOs) and agricultural input manufacturers and suppliers are playing a critical role in agrarian transitions as intermediaries. While agricultural productivity still remains low, both the regions are witnessing slow but gradual agrarian transitions. Rural-urban linkages in the form of seasonal labour migration are creating capital and technical inflows that are transforming agricultural activities. This study describes and interprets the above changes through the lens of ‘regional rurality’.

Keywords: agrarian transitions, rural Jharkhand, regional rurality, tribe and non-tribe

Procedia PDF Downloads 186
4889 Role of Tourism Cluster in Improvement of Economic Competitiveness of Georgia

Authors: Alexander Sharashenidze

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This article discusses the role of tourism in the economics of Georgia, justifies the necessity of several governmental supporting tools for diversification of tourism product and increasing competitiveness. Tourism directions are characterized through discovering Georgian tourism potential, considering cultural and geographical features; tools of formating supplemental products and development opportunities of Tbilisi and, also regions are asserted in the case of conducting appropriate government policy. There are presented tools of suggesting innovative tourism products, improvement of service, decreasing taxes, also providing availability to them. The role of tourism cluster in improvement of national competitiveness is substantiated. Based on the analysis of competitive factors influencing the development of tourism cluster, conclusions are made, and recommendations are suggested.

Keywords: economic competitivness, enhancing competitiveness, Georgian economic, tourism cluster, tourism product

Procedia PDF Downloads 531
4888 Evaluating Greenhouse Gas Emissions in Corn Cropping System: A Life Cycle Perspective

Authors: Zunaira Asif

Abstract:

The agricultural sector in Canada is a significant contributor to greenhouse gas (GHG) emissions, accounting for approximately 10% of the national total. Mitigating these emissions and promoting sustainable agricultural practices requires a comprehensive understanding of the life cycle of agricultural products. This research employs a matrix inverse method to develop a GIS-based life cycle assessment (LCA) model for a corn cropping system. The model integrates spatial data, such as soil properties, climate conditions, and land use/land cover maps, to capture spatial variations in GHG emissions and identify areas for targeted interventions with maximum impact. Field-level data, including crop rotation, tillage practices, fertilizer application rates, pesticide usage, irrigation practices, crop yields, and machinery operations (e.g., fuel consumption, maintenance, and operational hours), are incorporated to provide a detailed analysis. The model evaluates both direct and indirect GHG emissions, including those associated with fertilizer production, machinery usage, and soil carbon dynamics, delivering a comprehensive assessment of the environmental impacts of corn production. Preliminary findings highlight Nitrous oxide (N2O) as a major contributor to GHG emissions, largely due to nitrogen-based fertilizers and energy consumption from agricultural operations. Soil type also significantly influences GHG emission fluxes. Mitigation strategies, such as optimizing fertilizer application, adopting low-emission technologies, and implementing 4R nutrient stewardship principles, have shown promise in reducing emissions. By promoting these practices, this research offers actionable insights for farmers, policymakers, and industry stakeholders to support sustainable corn production.

Keywords: greenhouse gases, life cycle tool, agriculture, GIS

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4887 Determinants of Green Strategy: Analysis Using Probit and Logit Models

Authors: Ayushi Modi, Eliot Bochet-Merand

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This study investigates the structural determinants of green strategies among Small and Medium Enterprises (SMEs) in the European Union and select countries, utilizing data from the Flash Eurobarometer 498 - SMEs, Resource Efficiency, and Green Markets. By applying sequential logit analysis, we explore the drivers behind the adoption and scaling of green actions, such as resource efficiency, waste management, and product innovation, while also examining the provision of green products and services. A key contribution of this research is the novel distinction between the process stage (green actions) and the product stage (green outputs), allowing for a deeper analysis of how green initiatives translate into sustainable business outcomes. Our findings reveal that structural characteristics, such as firm size, sector, and turnover growth, significantly influence the likelihood of both providing green products and implementing comprehensive green actions. Smaller, younger firms in high-impact sectors like construction and industry are more likely to engage in sustainability efforts, particularly when they have a green strategy and a dedicated green workforce. Furthermore, companies serving B2B and B2C clients and experiencing turnover growth are more inclined to offer green products. The study underscores the economic implications of these insights, suggesting that financial flexibility, strategic commitment, and human capital investments are critical for scaling green initiatives. By refining variables and excluding heterogeneous countries, our data management ensures robust results. This research provides novel insights into the distinct roles of process and product stages in sustainability, offering valuable policy recommendations for promoting environmental performance in SMEs.

Keywords: green strategy, resource efficiency, SMES, sustainability, product innovation, environmental performance

Procedia PDF Downloads 23