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Robust Optimisation Based Dynamic Programming Model for Crop Planning and Planting
Abstract
Cultivated land is the basis of food production. Reasonable planning of cultivated land is crucial to increase food production, optimize resource utilization and maximize the economy. With the acceleration of global population growth and urbanization, cultivated land resources are becoming increasingly tense. Therefore, scientific planning of cultivated land can improve land use efficiency, ensure food supply, and prevent soil degradation and environmental pollution. In addition, reasonable cultivated land planning can also promote the improvement of agricultural productivity, increase farmers ' income, and provide stable food security for national economic development. Through literature review, this paper discusses the application of robust optimization technology in crop planning, and establishes a mathematical model based on actual data, aiming to provide sustainable farming schemes for rural agriculture. In the design process, we comprehensively considered the economic benefits, land fertility and crop diversity, and finally came up with a set of farming programs that can meet the needs of farmers and contribute to ecological protection to promote the healthy development of the rural economy.
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- Fu Q, Li T, Cui S, et al. Agricultural multi-water source allocation model based on interval two-stage stochastic robust programming under uncertainty [ J]. Water Resources Management, 2018, 32: 1261-1274.
- Yuan M, Zheng N, Yang Y, et al. Robust optimization for sustainable agricultural management of the water-land-food nexus under uncertainty[J]. Journal of Cleaner Production, 2023, 403: 136846.
- Fikry I, Eltawil A, Gheith M. A robust crop rotation optimisation model with water scarcity and net return uncertainty considerations[J]. IEEE Access, 2021, 9: 128938-128950.
- Ke S, Guo D, Niu Q, et al. Optimized production planning model for a multi-plant cultivation system under uncertainty[J]. Engineering optimization, 2015, 47(2): 204-220.
- Zhang Y, Swaminathan J M. Improved crop productivity through optimised planting schedules[J]. Manufacturing & Service Operations Management, 2020, 22(6): 1165-1180.
- Lin C C, Deng D J, Kang J R, et al. A dynamical simplified swarm optimisation algorithm for the multiobjective annual crop planning problem conserving groundwater for sustainability[J]. IEEE Transactions on Industrial Informatics, 2020, 17(6): 4401-4410.
- Wang Y B, Wu P T, Zhao X N, et al. The optimization for crop planning and some advances for water-saving crop planning in the semiarid Loess Plateau of China[J]. Journal of Agronomy and Crop Science, 2010, 196(1): 55-65.
- Bhatia M, Rana A. A mathematical approach to optimise crop allocation-A linear programming model[J]. Int. J. Des. Nat. Ecodynamics, 2020, 15(2): 245-252.
- Amini A. Application of fuzzy multi-objective programming in optimisation of crop production planning[J]. Asian J. Agric. Res, 2015, 9(5): 208-222.
- Nguyen D C H, Ascough II J C, Maier H R, et al. Optimization of irrigation scheduling using ant colony algorithms and an advanced cropping system model[J]. Environmental modelling & software, 2017, 97: 32-45.