Commenced in January 2007
Paper Count: 30123
Using Genetic Algorithms to Outline Crop Rotations and a Cropping-System Model
Abstract:The idea of cropping-system is a method used by farmers. It is an environmentally-friendly method, protecting the natural resources (soil, water, air, nutritive substances) and increase the production at the same time, taking into account some crop particularities. The combination of this powerful method with the concepts of genetic algorithms results into a possibility of generating sequences of crops in order to form a rotation. The usage of this type of algorithms has been efficient in solving problems related to optimization and their polynomial complexity allows them to be used at solving more difficult and various problems. In our case, the optimization consists in finding the most profitable rotation of cultures. One of the expected results is to optimize the usage of the resources, in order to minimize the costs and maximize the profit. In order to achieve these goals, a genetic algorithm was designed. This algorithm ensures the finding of several optimized solutions of cropping-systems possibilities which have the highest profit and, thus, which minimize the costs. The algorithm uses genetic-based methods (mutation, crossover) and structures (genes, chromosomes). A cropping-system possibility will be considered a chromosome and a crop within the rotation is a gene within a chromosome. Results about the efficiency of this method will be presented in a special section. The implementation of this method would bring benefits into the activity of the farmers by giving them hints and helping them to use the resources efficiently.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1339277Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1143
 Francis, C. A., Multiple cropping systems, Macmillan Publishing Company, New York, USA, 1986.
 D. A. Popescu, N. Bold, A. C. Bold, An algorithm based on the backtracking method for cropping-systems and the rotation of cultures, The 9th International Conference INTER-ENG 2015 - Interdisciplinarity in Engineering, 8 - 9 October, "Petru Maior" University of Tîrgu-Mureş, Romania, 2015
 D. Nijloveanu, N. Bold, A Random Algorithm for Generating Cropping – System Possibilities, The 10th International Conference on Virtual Learning, Timişoara, Romania, October 2015
 S. S. Snapp, S. M. Swinton, R. Labarta, D. Mutch, J. R. Black, R. Leep, J. Nyiraneza and K. O'Neil Evaluating Cover Crops for Benefits, Costs and Performance within Cropping System Niches, Agronomy Journal, Vol. 97, No. 1, p. 322-332, 2004.
 C. Nicolae, Rotatia culturilor, mijloc eficient de sporire a fertilitatii si a productiei agricole pe solurile acide, Probleme agricole, Bucharest, 1971
 Benyamin Khoshnevisan, Elham Bolandnazar, Shahaboddin Shamshirband, Hanifreza Motamed Shariati, Nor Badrul Anuar, Miss Laiha Mat Kiah, Decreasing environmental impacts of cropping systems using life cycle assessment (LCA) and multi-objective genetic algorithm, Journal of Cleaner Production, Volume 86, Pages 67–77, 1 January 2015.
 Apostolos Perifanos, Petru Guș, Teodor Rusu, Simona Chetan, Researches regarding the role of crop rotation and unconventional soil tillage in sustainable agriculture, The 6th International Symposium Soil Minimum Tillage Systems, p. 146-158, Cluj-Napoca, 27-29 June 2011.
 C.A. Francis, J.H. Sanders, Economic analysis of bean and maize systems: monoculture versus associated cropping, Field Crops Research, Volume 1, Pages 319-335, 1978.
 T. A. Delbridge, Jeffrey A. Coulter, Robert P. King, Craig C. Sheaffer and Donald L. Wyse, Economic Performance of Long-Term Organic and Conventional Cropping Systems in Minnesota, Agronomy Journal, Vol. 103 No. 5, p. 1372-1382, 2010.
 C. O. Stöckle, M. Donatelli, R. Nelson, CropSyst, a cropping systems simulation model, European Journal of Agronomy, Modelling Cropping Systems: Science, Software and Applications, Volume 18, Issues 3–4, Pages 289–307, January 2003
 Sin Gheorghe, Partal Elena, Influenţa rotaţiei şi a fertilizării asupra producţiilor de grâu şi porumb în contextul variaţiilor climatice, AN. I.N.C.D.A. Fundulea, vol. LXXVIII, nr. l, 2010
 C. Groșan, M. Oltean, Algoritmi Evolutivi, Ginfo, number 8, p. 30-36, December 2011.
 D. A. Popescu, D. Radulescu, Monitoring of irrigation systems using genetic algorithms, ICMSAO, IEEE Xplorer, pp. 1-4, 2015.
 D. A. Popescu, D. Radulescu, Approximately Similarity Measurement of Web Sites, ICONIP, Neural Information Processing, LNCS, Springer, 9- 12 November, pp. 624-630, 2015.
 D. A. Popescu, D. Nicolae, Generating a class schedule with reduced number of constraints, The 9th International Scientific Conference eLearning and software for Education, Bucharest, April 25-26, Proceedings, pag 297-300, 2013.
 D. A. Popescu, Probabilistic program that generates Langford sequences, Buletin Stiintific - Universitatea din Pitesti, Seria Matematica si Informatica, Nr. 12, pg. 129-133, 2006.
 Popescu, D. A. and Ionita, A. E. Combinatorica si Teoria Grafurilor, Ed. Rhabon. Tg. Jiu, 2005.