Optimisation of crop rotations: A case study for corn growing practices in forest-steppe of Ukraine

Journal of Water and Land Development

article

Mykhailo Romashchenko¹  Vsevolod Bohaienko²  Andrij Shatkovskyi¹  Roman Saidak³  Tetiana Matiash⁴  Volodymyr Kovalchuk⁴ 

[1] Institute of Water Problems and Land Reclamation of NAAS;V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine, Laboratory of Methods of Mathematical Modeling of Ecology and Energy Processes;Institute of Water Problems and Land Reclamation of NAAS, Department of Using of Agroresource Potential;Institute of Water Problems and Land Reclamation of NAAS, Department of Information Technology and Marketing Innovation

关键词: combinatorial optimisation;    corn;    crop rotation;    genetic algorithms;   

DOI  :  10.24425/jwld.2023.143760

学科分类：农业科学（综合）

来源: Instytut Technologiczno-Przyrodniczego / Institute of Technology and Life Sciences

【 摘 要 】

The formation of optimal crop rotations is virtually unsolvable from the standpoint of the classical methodology of experimental research. Here, we deal with a mathematical model based on expert estimates of “predecessor-crop” pairs’ efficiency created for the conditions of irrigation in the forest-steppe of Ukraine. Solving the problem of incorporating uncertainty assessments into this model, we present new models of crop rotations’ economic efficiency taking into account irrigation, application of fertilisers, and the negative environmental effect of nitrogen fertilisers’ introduction into the soil. For the considered models we pose an optimisation problem and present an algorithm for its solution that combines a gradient method and a genetic algorithm. Using the proposed mathematical tools, for several possible scenarios of water, fertilisers, and purchase price variability, the efficiency of growing corn as a monoculture in Ukraine is simulated. The proposed models show a reduction of the profitability of such a practice when the purchase price of corn decreases below 0.81 EUR∙kg –1 and the price of irrigation water increases above 0.32 EUR∙m –3 and propose more flexible crop rotations. Mathematical tools developed in the paper can form a basis for the creation of decision support systems that recommend optimal crop rotation variations to farmers and help to achieve sustainable, profitable, and ecologically safe agricultural production. However, future works on the actualisation of the values of its parameters need to be performed to increase the accuracy.

【 授权许可】

Unknown