Research on Optimisation Models for Crop Planting Planning
DOI:
https://doi.org/10.54097/qjyty260Keywords:
Optimal Cropping Programmes for Crops, Data Processing and Analysis, Multi-objective Planning.Abstract
In response to the current problem of low crop yields due to generally low crop yields and plot utilisation, this paper aims to improve plot utilisation to increase crop yield. The increase in yield cannot be realised as there is no better solution provided at present. Crop yield growth is facing a bottleneck as there is no better solution to achieve yield increase. This paper takes yield maximisation as the core objective, and establishes a multi-objective linear programming model for the situation where more than the stagnant part of the wasted and wasted crops are sold at a reduced price of 50% of the selling price, and finally seeks out the optimal planting scheme for the two different scenarios. The practical application and verification of the model not only proves its feasibility and effectiveness in actual agricultural production, but also further highlights the far-reaching significance of the research results for promoting agricultural modernisation, enhancing agricultural production efficiency and promoting sustainable agricultural development.
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[1] Mana. Research on the impact of precision agriculture technology on crop yield and quality [J]. Seed Science and Technology, 2024, 42(15): 143-145.
[2] Xiong Qingru. Research on the processing of multi-objective planning model based on linear planning model [J]. Science and Technology Innovation, 2020, (28): 42-43.
[3] LI Liu-Xing, TANG Li. Multi-objective optimisation model and PSO parallel algorithm for plantation structure scheduling [J]. Journal of Chongqing Institute of Science and Technology (Natural Science Edition), 2020, 22(01): 60-62.
[4] Weifeng. Strategies for solving linear programming problems [J]. Research on Mathematical and Physical Problem Solving, 2020, (31): 46-47.
[5] YANG Wen-an, YAN Wen-ting. Multi-objective planning model and improved algorithm for prefabricated component supply chain network [J]. Journal of Engineering Management, 2023, 37(05): 123-128.
[6] Gong Yi, Liu Qiushu. Establishment and analysis of multi-objective planning model [J]. Information Record Material, 2019, 20(05): 123-124.
[7] LIU Zengfang, ZHANG Qiannan. Research on ordering and transporting raw materials of production enterprises based on multi-objective planning [J]. Enterprise Technology and Development, 2022, (04): 134-137.
[8] JI Changming, ZHAO Yawei, MA Haoyu, et al. Research and application of multi-objective planning model for supplementary power stations in power systems [J]. Journal of Hydropower Generation, 2020, 39(05): 36-50.
[9] Zhen Wanyue. Research on optimal allocation of water resources in Zhongshan City based on multi-objective planning [J]. Shaanxi Water Resources, 2022, (08): 32-33.
[10] HUANG YANAN, HUANG YABEI, CAO JINBI, et al. Optimisation of cogeneration energy system based on multi-objective particle swarm model [J]. Modern Industrial Economy and Information Technology, 2024, 14(11): 147-149.
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