Research on Optimisation Models for Crop Planting Planning

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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Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2025-03-25
DOI
https://doi.org/10.54097/qjyty260
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Optimisation Models for Crop Planting Planning

H. X. Chen
Highlights in Science Engineering and Technology
Soil Mechanics and Vehicle Dynamics
article

Research on Optimisation Models for Crop Planting Planning

H. X. Chen
article en

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.

Highlights in Science Engineering and TechnologyVol. 131
Guangdong University of Technology (CN), South China University of Technology (CN)
Openalex Percentile: Top 94%
Soil Mechanics and Vehicle Dynamics
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Research on Optimisation Models for Crop Planting Planning — H. X. Chen · Highlights in Science Engineering and Technology (2025) | TGRS Research Map | TGRS