Search results for: PM machinesautonomous agricultural machines
2418 Farming Production in Brazil: Innovation and Land-Sparing Effect
Authors: Isabela Romanha de Alcantara, Jose Eustaquio Ribeiro Vieira Filho, Jose Garcia Gasques
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Innovation and technology can be determinant factors to ensure agricultural and sustainable growth, as well as productivity gains. Technical change has contributed considerably to supply agricultural expansion in Brazil. This agricultural growth could be achieved by incorporating more land or capital. If capital is the main source of agricultural growth, it is possible to increase production per unit of land. The objective of this paper is to estimate: 1) total factor productivity (TFP), which is measured in terms of the rate of output per unit of input; and 2) the land-saving effect (LSE) that is the amount of land required in the case that yield rate is constant over time. According to this study, from 1990 to 2019, it appears that 87 percent of Brazilian agriculture product growth comes from the gains of productivity; the rest of 13 percent comes from input growth. In the same period, the total LSE was roughly 400 Mha, which corresponds to 47 percent of the national territory. These effects reflect the greater efficiency of using productive factors, whose technical change has allowed an increase in agricultural production based on productivity gains.Keywords: agriculture, land-saving effect, livestock, productivity
Procedia PDF Downloads 2262417 The Use Support Vector Machine and Back Propagation Neural Network for Prediction of Daily Tidal Levels Along The Jeddah Coast, Saudi Arabia
Authors: E. A. Mlybari, M. S. Elbisy, A. H. Alshahri, O. M. Albarakati
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Sea level rise threatens to increase the impact of future storms and hurricanes on coastal communities. Accurate sea level change prediction and supplement is an important task in determining constructions and human activities in coastal and oceanic areas. In this study, support vector machines (SVM) is proposed to predict daily tidal levels along the Jeddah Coast, Saudi Arabia. The optimal parameter values of kernel function are determined using a genetic algorithm. The SVM results are compared with the field data and with back propagation (BP). Among the models, the SVM is superior to BPNN and has better generalization performance.Keywords: tides, prediction, support vector machines, genetic algorithm, back-propagation neural network, risk, hazards
Procedia PDF Downloads 4592416 Automatic Speech Recognition Systems Performance Evaluation Using Word Error Rate Method
Authors: João Rato, Nuno Costa
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The human verbal communication is a two-way process which requires a mutual understanding that will result in some considerations. This kind of communication, also called dialogue, besides the supposed human agents it can also be performed between human agents and machines. The interaction between Men and Machines, by means of a natural language, has an important role concerning the improvement of the communication between each other. Aiming at knowing the performance of some speech recognition systems, this document shows the results of the accomplished tests according to the Word Error Rate evaluation method. Besides that, it is also given a set of information linked to the systems of Man-Machine communication. After this work has been made, conclusions were drawn regarding the Speech Recognition Systems, among which it can be mentioned their poor performance concerning the voice interpretation in noisy environments.Keywords: automatic speech recognition, man-machine conversation, speech recognition, spoken dialogue systems, word error rate
Procedia PDF Downloads 3162415 Land Suitability Prediction Modelling for Agricultural Crops Using Machine Learning Approach: A Case Study of Khuzestan Province, Iran
Authors: Saba Gachpaz, Hamid Reza Heidari
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The sharp increase in population growth leads to more pressure on agricultural areas to satisfy the food supply. To achieve this, more resources should be consumed and, besides other environmental concerns, highlight sustainable agricultural development. Land-use management is a crucial factor in obtaining optimum productivity. Machine learning is a widely used technique in the agricultural sector, from yield prediction to customer behavior. This method focuses on learning and provides patterns and correlations from our data set. In this study, nine physical control factors, namely, soil classification, electrical conductivity, normalized difference water index (NDWI), groundwater level, elevation, annual precipitation, pH of water, annual mean temperature, and slope in the alluvial plain in Khuzestan (an agricultural hotspot in Iran) are used to decide the best agricultural land use for both rainfed and irrigated agriculture for ten different crops. For this purpose, each variable was imported into Arc GIS, and a raster layer was obtained. In the next level, by using training samples, all layers were imported into the python environment. A random forest model was applied, and the weight of each variable was specified. In the final step, results were visualized using a digital elevation model, and the importance of all factors for each one of the crops was obtained. Our results show that despite 62% of the study area being allocated to agricultural purposes, only 42.9% of these areas can be defined as a suitable class for cultivation purposes.Keywords: land suitability, machine learning, random forest, sustainable agriculture
Procedia PDF Downloads 722414 Multifunctional Bending and Straightening Machines for Shipbuilding
Authors: V. Yu. Shungin, A. V. Popov
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At present, one of the main tasks of Russian shipbuilding yards is implementation of new technologies and replacement of main process equipment. In particular, conventional bending technologies with dies are being replaced with resource-saving methods of rotation (roller) banding. Such rolling bending is performed by multiple rolling of a plat in special bending rollers. Studies, conducted in JSC SSTC, allowed developing a theory of rotation bending, methods for calculation of process parameters, requirements to roller presses and bending accessories. This technology allows replacing old and expensive presses with new cheaper roller ones, having less power consumption and bending force. At first, roller presses were implemented in ship repair, however now they are widely employed at major shipbuilding yards. JSC SSTC develops bending technology and carries out design, manufacturing and delivery of roller presses.Keywords: bending/straightening machines, rotational bending, ship hull structures, multifunctional bending
Procedia PDF Downloads 5652413 A Review: Global Crisis Effects on Agriculture and Animal Production in Turkey
Authors: Muhittin Fatih Demirhan, Sibel Alapala Demirhan
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Agriculture, is also regarded as the primary activity area in all economies. When international comparisons are made Turkey has comparative advantages in agricultural potential. However, it is diffi cult to say that Turkey's agricultural productivity and use of technology is well developed in terms of sufficieny. Turkey, in terms of agricultural production, is one of the rare self-sufficient countries, but for supplying excessive demand of its domesticproduction to foreign markets to obtain the necessary income it is rather insufficient. On the basis of wrong policies implemented during the crisis and found that bottlenecks in agriculture and animal husbandry or agriculture policies of the IMF and World Bank are imposed on countries like Turkey. The IMF and the World Bank, the reduction of support in the agricultural and livestock Turkey, is known to put pressure for the abolition. Under these circumstances, our farmers, livestock producers and breeders of, not a chance to compete in the same market with EU producers. Animal products that capture the productivity levels of developed countries, seems to be our chance to compete with the quality and hygiene criteria. Thus, the discussion of the issue must be raised as for the sector's contribution to the economy in terms of further increasing production of the existing potential in mobilization.Keywords: agricultural development, animal production, competition, economic crisis, food supply
Procedia PDF Downloads 2292412 Change Detection Analysis on Support Vector Machine Classifier of Land Use and Land Cover Changes: Case Study on Yangon
Authors: Khin Mar Yee, Mu Mu Than, Kyi Lint, Aye Aye Oo, Chan Mya Hmway, Khin Zar Chi Winn
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The dynamic changes of Land Use and Land Cover (LULC) changes in Yangon have generally resulted the improvement of human welfare and economic development since the last twenty years. Making map of LULC is crucially important for the sustainable development of the environment. However, the exactly data on how environmental factors influence the LULC situation at the various scales because the nature of the natural environment is naturally composed of non-homogeneous surface features, so the features in the satellite data also have the mixed pixels. The main objective of this study is to the calculation of accuracy based on change detection of LULC changes by Support Vector Machines (SVMs). For this research work, the main data was satellite images of 1996, 2006 and 2015. Computing change detection statistics use change detection statistics to compile a detailed tabulation of changes between two classification images and Support Vector Machines (SVMs) process was applied with a soft approach at allocation as well as at a testing stage and to higher accuracy. The results of this paper showed that vegetation and cultivated area were decreased (average total 29 % from 1996 to 2015) because of conversion to the replacing over double of the built up area (average total 30 % from 1996 to 2015). The error matrix and confidence limits led to the validation of the result for LULC mapping.Keywords: land use and land cover change, change detection, image processing, support vector machines
Procedia PDF Downloads 1232411 Annealing Process Study at Galvanizing Line: Characterization and Implication Inherent to Lead Entrainment
Authors: Marcelo Franzkowiak Stahlschmidt
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This paper discusses the experiments carried out based on the wire drawing process analysis and later annealing on lead furnace on a galvanizing line. Using Design of Experiments methodology, the aim of this work is to understand the occurrence of lead entrainment originating from the annealed wires in order to decrease this problem. Wire samples were collected from wire drawing machines and galvanizing line and submitted to surface roughness analysis and its implications on lead drag out based on wire speed, wire diameter, lead bath temperature, thermal capacity of the lead kettle, wire surface condition, wire roughness and wire superficial cleanliness. Proposals to decrease lead drag out were made in order to increase wire drawing machines and galvanizing line performance.Keywords: wire drawing process, galvanizing, heat treatment, lead
Procedia PDF Downloads 6342410 Analysis Rotor Bearing System Dynamic Interaction with Bearing Supports
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Frequently, in the design of machines, some of parameters that directly affect the rotor dynamics of the machines are not accurately known. In particular, bearing stiffness support is one such parameter. One of the most basic principles to grasp in rotor dynamics is the influence of the bearing stiffness on the critical speeds and mode shapes associated with a rotor-bearing system. Taking a rig shafting as an example, this paper studies the lateral vibration of the rotor with multi-degree-of-freedom by using Finite Element Method (FEM). The FEM model is created and the eigenvalues and eigenvectors are calculated and analyzed to find natural frequencies, critical speeds, mode shapes. Then critical speeds and mode shapes are analyzed by set bearing stiffness changes. The model permitted to identify the critical speeds and bearings that have an important influence on the vibration behavior.Keywords: lateral vibration, finite element method, rig shafting, critical speed
Procedia PDF Downloads 3332409 Diversity of Arachnological Fauna in an Agricultural Environment: Inventory and Effect of Herbicides
Authors: Benslimane Marwa, Benabbas-Sahki Ilham
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Spiders play an important role in agroecosystems due to their great abundance. They are considered a valuable group of invertebrates in agricultural land. They are predators of insects harmful to crops, but their use in biological control requires in-depth research on their ecology. During our study, we counted a total of 768 spiders, which we were able to identify and classify into 14 families over a period between March 2021 and October of the same year. This study aims to compare a station subjected to agricultural practices, including the spreading of herbicides, with another station subjected to the same practices but without the use of phytosanitary products. The inventory shows a strong dominance of the Gnaphosidae family (75.8%). This result affirms that the proliferation of this family is very favorable to the knowledge of the fruits by limiting the populations of aphids infesting the plot, which can therefore be proposed for biological control. The comparative study of the populations of spiders in the stations studied shows the negative effect of agricultural practices on the species richness and abundance of these species; as for the diversity, this one is only slightly affected. Finally, we can note that the effects of herbicides did not cause a significant imbalance in this agroecosystem, unlike plowing, which showed harmful consequences on spiders.Keywords: spiders, predator, species richness, herbicides, agricultural practices
Procedia PDF Downloads 782408 Vector Control of Two Five Phase PMSM Connected in Series Powered by Matrix Converter Application to the Rail Traction
Authors: S. Meguenni, A. Djahbar, K. Tounsi
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Electric railway traction systems are complex; they have electrical couplings, magnetic and solid mechanics. These couplings impose several constraints that complicate the modeling and analysis of these systems. An example of drive systems, which combine the advantages of the use of multiphase machines, power electronics and computing means, is mono convert isseur multi-machine system which can control a fully decoupled so many machines whose electric windings are connected in series. In this approach, our attention especially on modeling and independent control of two five phase synchronous machine with permanent magnet connected in series and fed by a matrix converter application to the rail traction (bogie of a locomotive BB 36000).Keywords: synchronous machine, vector control Multi-machine/ Multi-inverter, matrix inverter, Railway traction
Procedia PDF Downloads 3672407 Climate Policy Actions for Sustaining International Agricultural Development Projects: The Role of Non-State, Sub-National Stakeholder Engagements, and Monitoring and Evaluation
Authors: EMMANUEL DWAMENA SASU
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International climate policy actions require countries under Paris Agreement to design instruments, provide support (financial and technical), and strengthen institutional capacity with tendency to transcending policy formulation to implementation and sustainability. Changes associated with moisture depletion has been a growing phenomenon; especially in developing countries with projected global GDP drop from 7% to 2% between 2005 and 2050. These developments have potential to adversely affect food production in feeding the growing world population, with corresponding rise in global hunger. Incongruously, there is global absence of a harmonized policy direction; capable of providing the required indicators on climate policies for monitoring sustainability of international agricultural development projects. We conduct extensive review and synthesis on existing limitations on global climate policy governance, agricultural food security and sustainability of international agricultural development projects, and conjecture the role of non-state and sub-national climate stakeholder engagements, and monitoring and evaluation strategies for improved climate policy action for sustaining international agricultural development projects.Keywords: climate policy, agriculture, development projects, sustainability
Procedia PDF Downloads 1182406 Food Security from a Spatial Perspective; The Situation in Advanced and Less Advanced Economies
Authors: Kristina Thorell
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Food security has been one of the most important policy issues on the global arena after the Second World War. The overall aim of this presentation is to describe preconditions for a sustainable food supply from a spatial perspective. Special attention is paid to the differences between advanced and less advanced economies around the world. The theoretical framework is based upon models which are explaining complex systems of factors that affect the preconditions for agricultural productions. In additions to this, theories about how population and environmental pollution change through different stages of societal development are explained. The results are based upon data of agricultural practices, population growth, hunger and nutrition levels from different countries around the world. The analysis shows that factors which affect preconditions for agricultural production are dynamic. Factors which support the food security in the near future are a decreasing population growth, technological development and innovation but the environmental crisis is associated to high risks. It is, therefore, important to develop environmental policies and improved methods for organic farming. A final conclusion is that the spatial pattern is clear; the food supply is sufficient within advanced economies but rather complicated in development countries.Keywords: food security, agricultural geography, demography, advanced economies, population growth, agricultural practices
Procedia PDF Downloads 3102405 Basic Characteristics and Prospects of Synchronized Stir Welding
Authors: Shoji Matsumoto
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Friction Stir Welding (FSW) has been widely used in the automotive, aerospace, and high-tech industries due to its superior mechanical properties after welding. However, when it becomes a matter to perform a high-quality joint using FSW, it is necessary to secure an advanced tilt angle (usually 1 to 5 degrees) using a dedicated FSW machine and to use a joint structure and a restraining jig that can withstand the tool pressure applied during the jointing process using a highly rigid processing machine. One issue that has become a challenge in this process is ‘productivity and versatility’. To solve this problem, we have conducted research and development of multi-functioning machines and robotics with FSW tools, which combine cutting/milling and FSW functions as one in recent years. However, the narrow process window makes it prone to welding defects and lacks repeatability, which makes a limitation for FSW its use in the fields where precisions required. Another reason why FSW machines are not widely used in the world is because of the matter of very high cost of ownership.Keywords: synchronized, stir, welding, friction, traveling speed, synchronized stir welding, friction stir welding
Procedia PDF Downloads 382404 Morphological Features Fusion for Identifying INBREAST-Database Masses Using Neural Networks and Support Vector Machines
Authors: Nadia el Atlas, Mohammed el Aroussi, Mohammed Wahbi
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In this paper a novel technique of mass characterization based on robust features-fusion is presented. The proposed method consists of mainly four stages: (a) the first phase involves segmenting the masses using edge information’s. (b) The second phase is to calculate and fuse the most relevant morphological features. (c) The last phase is the classification step which allows us to classify the images into benign and malignant masses. In this step we have implemented Support Vectors Machines (SVM) and Artificial Neural Networks (ANN), which were evaluated with the following performance criteria: confusion matrix, accuracy, sensitivity, specificity, receiver operating characteristic ROC, and error histogram. The effectiveness of this new approach was evaluated by a recently developed database: INBREAST database. The fusion of the most appropriate morphological features provided very good results. The SVM gives accuracy to within 64.3%. Whereas the ANN classifier gives better results with an accuracy of 97.5%.Keywords: breast cancer, mammography, CAD system, features, fusion
Procedia PDF Downloads 5892403 The Role of ICT in Engaging Youth in Agricultural Transformation of Africa
Authors: Adebola Adedugbe
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Agriculture is the mainstay of most countries in Africa. It employs up to 90 percent of the rural workforce, who are mostly youth and women. Engaging youths in Information and Communications Technology (ICT) in agriculture is critical to economic and agricultural development of the African continent. The objective of this paper is to identify and mobilize the potentials of young Africans in agriculture through ICT and recognize their role as the dominant driver for sustainable agricultural development in Africa. This paper identifies the role of ICT as a tool for attracting youths to agriculture. The development of ICT is important in stimulating youths in SME’s to compete favorably and effectively as a way to fight poverty through job and wealth creation. It is one of the strategies for promoting entrepreneurship by increasing the availability and diversity of online information.Keywords: Africa, agriculture, ICT, tool, youth
Procedia PDF Downloads 4422402 Relationship between ICTs Application with Production and Protection Technology: Lesson from Rural Punjab-Pakistan
Authors: Tahir Munir Butt, Gao Qijie, Babar Shahbaz, Muhammad Zakaria Yousaf Hassan, Zhnag Chuanhong
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The main objective of this paper is to identify the relationship between Information Communication Technology (ICTs) applications with Agricultural development in the process of communication at rural Punjab-Pakistan. The authors analyzed the relationship of ICTs applications with the most prominent factor for the Agricultural Information Services (AIS) in the Agricultural Extension Approaches (AEA). The data collection procedure was started from Jan. 2015 and completed in July 2015. It is the one of the part in PhD studies at China Agriculture, University Hadian-Beijng China. It was observed that on major constraint in the AIS disseminated was the limited number of farmers especially and unknown the farmers about new ICTs technology for Agriculture at rural areas. Majority of ICTs application e.g. Toll free number; Robo Calls; Text message was highly significances in the AIS approach. The recommendation is communication and capacity building one of the indispensable elements for sustainable and agricultural development and Agricultural extension should be provided training to farmer about new ICTs technologies to access and use of it for Sustainable Agriculture Development (SAD) and update the scenario of flow of information also with try to established ICTs hub at the village level.Keywords: ICTs, AEA, AIS, SAD, rural farmers
Procedia PDF Downloads 2892401 Real Interest Rates and Real Returns of Agricultural Commodities in the Context of Quantitative Easing
Authors: Wei Yao, Constantinos Alexiou
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In the existing literature, many studies have focused on the implementation and effectiveness of quantitative easing (QE) since 2008, but only a few have evaluated QE’s effect on commodity prices. In this context, by following Frankel’s (1986) commodity price overshooting model, we study the dynamic covariation between the expected real interest rates and six agricultural commodities’ real returns over the period from 2000:1 to 2018 for the US economy. We use wavelet analysis to investigate the causal relationship and co-movement of time series data by calculating the coefficient of determination in different frequencies. We find that a) US unconventional monetary policy may cause more positive and significant covariation between the expected real interest rates and agricultural commodities’ real returns over the short horizons; b) a lead-lag relationship that runs from agricultural commodities’ real returns to the expected real short-term interest rates over the long horizons; and c) a lead-lag relationship from agricultural commodities’ real returns to the expected real long-term interest rates over short horizons. In the realm of monetary policy, we argue that QE may shift the negative relationship between most commodities’ real returns and the expected real interest rates to a positive one over a short horizon.Keywords: QE, commodity price, interest rate, wavelet coherence
Procedia PDF Downloads 802400 The Introduction of Medicine Plants in Bogor Agricultural University: A Case Study in Cikabayan and Tropical Medicinal Plant Conservation Laboratory
Authors: Eki Devung, Eka Tyastutik, Indha Annisa, Digdaya Anoraga, Jamaluddin Arsyad
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Plant medicine is a whole species of plants are known to have medicinal properties. Bogor Agricultural University has high biodiversity, one of which flora potential as a drug. This study was conducted from 19 September to 10 October 2016 at Bogor Agricultural University using literature study and field observation. There are 85 species of medicinal plants which include a medicinal plant cultivation and wild plants. Family herbs most commonly found in Cikabayan that while the Euphorbiaceae, family which is found in the Tropical Medicinal Plant Conservation Laboratory is the family of Achantaceae. Species of medicinal plants is dominated by herbs and shrubs. Part herbs most widely used are the leaves. The diversity of diseases that can be treated with medicine plants include digestive system diseases and metabolic disorder.Keywords: benefits, biodiversity, Bogor Agricultural University, medicinal plants
Procedia PDF Downloads 3522399 Computer Aided Engineering Optimization of Synchronous Reluctance Motor and Vibro-Acoustic Analysis for Lift Systems
Authors: Ezio Bassi, Francesco Vercesi, Francesco Benzi
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The aim of this study is to evaluate the potentiality of synchronous reluctance motors for lift systems by also evaluating the vibroacoustic behaviour of the motor. Two types of synchronous machines are designed, analysed, and compared with an equivalent induction motor, which is the more common solution in such gearbox applications. The machines' performance are further improved with optimization procedures based on multiobjective optimization genetic algorithm (MOGA). The difference between the two synchronous motors consists in the rotor geometry; a symmetric and an asymmetric rotor design were investigated. The evaluation of the vibroacoustic performance has been conducted with a multi-variable model and finite element software taking into account electromagnetic, mechanical, and thermal features of the motor, therefore carrying out a multi-physics analysis of the electrical machine.Keywords: synchronous reluctance motor, vibro-acoustic, lift systems, genetic algorithm
Procedia PDF Downloads 1702398 Challenges of Climate Change on Agricultural Productivity in Sub-Saharan Africa
Authors: Mohammed Sale Abubakar, Kabir Omar, Mohammed Umar Abba
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The effects of climate change continue to ravage globe upsetting or even overturning the entire communities in its wake. It is therefore on the front burner of most global issues affecting the world today. Hardly any field of endeavor has escaped the manifestation of its effects. The effects of climate change on agricultural productivity calls for intense study because of the nexus between agriculture, global food security and provision of employment for the teaming population in sub-saharan Africa. This paper examines current challenges of climate change on agricultural productivity in this region. This challenge indicated that both long and short-term change in climate bring unpleasant repercussion on agricultural productivity as they manifest in the vulnerability of industrial work force. The paper also focused on the impact of agriculture and bio-environmental engineering as a separate entity that will help to fight these major challenges facing humanity currently associated with negative effects of climate change such as scarcity of water, declining agricultural yields, desert encroachment, and damage of coastal structures. Finally, a suggestion was put forward as an effort that should be directed towards mitigating the negative effects of climate change on our environment.Keywords: climate change mitigation, desert encroachment, environment, global food security, greenhouse gases (GHGs)
Procedia PDF Downloads 3462397 Life Prediction Method of Lithium-Ion Battery Based on Grey Support Vector Machines
Authors: Xiaogang Li, Jieqiong Miao
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As for the problem of the grey forecasting model prediction accuracy is low, an improved grey prediction model is put forward. Firstly, use trigonometric function transform the original data sequence in order to improve the smoothness of data , this model called SGM( smoothness of grey prediction model), then combine the improved grey model with support vector machine , and put forward the grey support vector machine model (SGM - SVM).Before the establishment of the model, we use trigonometric functions and accumulation generation operation preprocessing data in order to enhance the smoothness of the data and weaken the randomness of the data, then use support vector machine (SVM) to establish a prediction model for pre-processed data and select model parameters using genetic algorithms to obtain the optimum value of the global search. Finally, restore data through the "regressive generate" operation to get forecasting data. In order to prove that the SGM-SVM model is superior to other models, we select the battery life data from calce. The presented model is used to predict life of battery and the predicted result was compared with that of grey model and support vector machines.For a more intuitive comparison of the three models, this paper presents root mean square error of this three different models .The results show that the effect of grey support vector machine (SGM-SVM) to predict life is optimal, and the root mean square error is only 3.18%. Keywords: grey forecasting model, trigonometric function, support vector machine, genetic algorithms, root mean square errorKeywords: Grey prediction model, trigonometric functions, support vector machines, genetic algorithms, root mean square error
Procedia PDF Downloads 4542396 The Flotation Device Designed to Treat Phosphate Rock
Authors: Z. Q. Zhang, Y. Zhang, D. L. Li
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To overcome the some shortcomings associated with traditional flotation machines and columns in collophanite flotation, a flotation device was designed and fabricated in the laboratory. A multi-impeller pump with same function as a mechanical cell was used instead of the injection sparger and circulation pump in column flotation unit. The influence of main operational parameters of the device like feed flow rate, air flow rate and impellers’ speed on collophanite flotation was analyzed. Experiment results indicate that the influence of the operational parameters were significant on flotation recovery and grade of phosphate concentrate. The best operating conditions of the device were: feed flow rate 0.62 L/min, air flow rate 6.67 L/min and impellers speed 900 rpm. At these conditions, a phosphate concentrate assaying about 30.5% P2O5 and 1% MgO with a P2O5 recovery of about 81% was obtained from a Yuan'an phosphate ore sample containing about 22.30% P2O5 and 3.2% MgO.Keywords: collophanite flotation, flotation columns, flotation machines, multi-impeller pump
Procedia PDF Downloads 2572395 Marketing Strategy of Agricultural Products in Remote Districts: A Case Study of Mudan Township, Taiwan
Authors: Ying-Hsiang Ho, Hsiao-Tseng Lin
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Mudan Township is a remote mountainous area in Taiwan. In recent years, due to the migration of the population, inconvenient transportation, digital divide, and low production, agricultural products marketing have become a major issue. This research aims to develop the marketing strategy suitable for the agricultural products of the rural areas. The main objective of this work is to conduct in-depth interviews with scholars and experts in the marketing field, combined with the marketing 4P combination, to analyze and summarize the possible marketing strategies for agricultural products for remote districts. The interviews consist of seven experts from industry who have practical experience in producing, marketing, and selling agricultural products and three professors that have experience in teaching marketing management. The in-depth interviews are conducted for about an hour using a pre-drafted interview outline. The results of the interviews are summarized by semantic analysis and presented in a marketing 4P combination. The results indicate that in terms of products, high-quality products with original characteristics can be added through the implementation of production history, organic certification, and cultural packaging. In the place part, we found that the use of emerging communities, the emphasis on cross-industry alliances, the improvement of information application capabilities of rural households, production and marketing group, and contractual farming system are the development priorities. In terms of promotion, it should be an emphasis on the management of internet social media and word-of-mouth marketing. Mudan Township may consider promoting agricultural products through special festivals such as farmer's market, wild ginger flower season and hot spring season. This research also proposes relevant recommendations for the government's public sector and related industry reference for the promotion of agricultural products for remote area.Keywords: marketing strategy, remote districts, agricultural products, in-depth interviews
Procedia PDF Downloads 1192394 A Hybrid System for Boreholes Soil Sample
Authors: Ali Ulvi Uzer
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Data reduction is an important topic in the field of pattern recognition applications. The basic concept is the reduction of multitudinous amounts of data down to the meaningful parts. The Principal Component Analysis (PCA) method is frequently used for data reduction. The Support Vector Machine (SVM) method is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training data, the algorithm outputs an optimal hyperplane which categorizes new examples. This study offers a hybrid approach that uses the PCA for data reduction and Support Vector Machines (SVM) for classification. In order to detect the accuracy of the suggested system, two boreholes taken from the soil sample was used. The classification accuracies for this dataset were obtained through using ten-fold cross-validation method. As the results suggest, this system, which is performed through size reduction, is a feasible system for faster recognition of dataset so our study result appears to be very promising.Keywords: feature selection, sequential forward selection, support vector machines, soil sample
Procedia PDF Downloads 4492393 Adaption Model for Building Agile Pronunciation Dictionaries Using Phonemic Distance Measurements
Authors: Akella Amarendra Babu, Rama Devi Yellasiri, Natukula Sainath
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Where human beings can easily learn and adopt pronunciation variations, machines need training before put into use. Also humans keep minimum vocabulary and their pronunciation variations are stored in front-end of their memory for ready reference, while machines keep the entire pronunciation dictionary for ready reference. Supervised methods are used for preparation of pronunciation dictionaries which take large amounts of manual effort, cost, time and are not suitable for real time use. This paper presents an unsupervised adaptation model for building agile and dynamic pronunciation dictionaries online. These methods mimic human approach in learning the new pronunciations in real time. A new algorithm for measuring sound distances called Dynamic Phone Warping is presented and tested. Performance of the system is measured using an adaptation model and the precision metrics is found to be better than 86 percent.Keywords: pronunciation variations, dynamic programming, machine learning, natural language processing
Procedia PDF Downloads 1642392 Farmers Perception on the Level of Participation in Agricultural Project: The Case of a Community Garden Project in Imphendhle Municipality of Kwazulu-Natal Province, South Africa
Authors: Jorine T. Ndoro, Marietjie Van Der Merwe
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Rural poverty remains a critical challenge in most developing countries and the participation of farmers in agricultural projects has taken a key role in development initiatives. Farmers’ participation in agricultural initiatives is crucial towards poverty alleviation and food security. Farmers’ involvement directly contributes towards sustainable agricultural development and livelihoods. This study focuses on investigating the perceptions of farmers’ participation in a community garden project. The study involved farmers belonging to community garden project in Imphendhle municipality in Mgungundlvu district of KwaZulu-Natal in South Africa. The study followed a qualitative research design using an interpretive research paradigm. The data was collected through conducting in-depth semi-structured interviews and a focus group was conducted with the eight farmers belonging to the community garden project. The findings show that the farmers are not involved in decision makings in the project. The farmers are passive participants. Participation of the farmers was mainly to carry out the activities from the extension officers. The study recommends that farmers be actively involved in projects and programmes introduced in their communities. Farmers’ active participation contributes to the sustainability of the projects through a sense of ownership.Keywords: farmers, participation, agricultural extension, community garden
Procedia PDF Downloads 2482391 Improvement of Overall Equipment Effectiveness of Load Haul Dump Machines in Underground Coal Mines
Authors: J. BalaRaju, M. Govinda Raj, C. S. N. Murthy
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Every organization in the competitive world tends to improve its economy by increasing their production and productivity rates. Unequivocally, the production in Indian underground mines over the years is not satisfactory, due to a variety of reasons. There are manifold of avenues for the betterment of production, and one such approach is through enhanced utilization of mechanized equipment such as Load Haul Dumper (LHD). This is used as loading and hauling purpose in underground mines. In view of the aforementioned facts, this paper delves into identification of the key influencing factors such as LHDs maintenance effectiveness, vehicle condition, operator skill and utilization of the machines on performance of LHDs. An attempt has been made for improvement of performance of the equipment through evaluation of Overall Equipment Effectiveness (OEE). Two different approaches for evaluation of OEE have been adopted and compared under various operating conditions. The use of OEE calculation in terms of percentage availability, performance and quality and the hitherto existing situation of the underground mine production is evaluated. Necessary recommendations are suggested to mining industry on the basis of OEE.Keywords: utilization, maintenance, availability, performance and quality
Procedia PDF Downloads 2112390 Intelligent Irrigation Control System Using Wireless Sensors and Android Application
Authors: Rajeshwari Madli, Santhosh Hebbar, Vishwanath Heddoori, G. V. Prasad
Abstract:
Agriculture is the major occupation in India and forms the backbone of Indian economy in which irrigation plays a crucial role for increasing the quality and quantity of crop yield. In spite of many revolutionary advancements in agriculture, there has not been a dramatic increase in agricultural performance. Lack of irrigation infrastructure and agricultural knowledge are the critical factors influencing agricultural performance. However, by using advanced agricultural equipment, the effect of these factors can be curtailed. The presented system aims at increasing the yield of crops by using an intelligent irrigation controller that makes use of wireless sensors. Sensors are used to monitor primary parameters such as soil moisture, soil pH, temperature and humidity. Irrigation decisions are taken based on the sensed data and the type of crop being grown. The system provides a mobile application in which farmers can remotely monitor and control the irrigation system. Also, the water pump is protected against damages due to voltage variations and dry running.Keywords: android application, Bluetooth, wireless sensors, irrigation, temperature, soil pH
Procedia PDF Downloads 3752389 Agricultural Solid Wastes Generation in Nigeria and Their Recycling Potentials into Building Materials
Authors: Usman Aliyu Jalam, Shuaibu Alolo Sumaila, Sa’adiya Iliyasu Muhammed
Abstract:
Modern building industry lays much emphasis on sophisticated materials that have high embodied energy with intrinsic distinctiveness for damaging the environment. But today, advances in solid waste management have resulted in alternative building materials as partial or complete replacement of the conventional materials like cement, aggregate etc particularly for low cost housing. Investigations carried out revealed that an estimated 18.0 million tonnes of agricultural solid wastes are being generated in Nigeria annually. This constitutes a problem not only to the natural environment but also to the built environment more particularly with the way the wastes are being dispose of. The paper has discussed the present status on the generation and utilisation of agricultural solid wastes, their recycling potentials and environmental implications. It further discovered that although considerable quantity of these wastes were found to have the potentials of being recycled as building materials, the availability of the appropriate technology remains a big challenge in the country. Moreover, majority of the wastes type have gained popularity as fuel. As such, the economic and environmental benefits of recycling the wastes and the use of the wastes as fuel need further investigation.Keywords: agricultural waste, building, environment, materials, Nigeria
Procedia PDF Downloads 389