Optimal Planting Strategy Model for Crops in Mountainous Areas of North China Based on Robust Optimization

Shenyang Li; Kehan Li; Yao Sun; Lixiang Gu; Jingjing Fu

doi:10.54097/qv2cwv92

Authors

Shenyang Li
Kehan Li
Yao Sun
Lixiang Gu
Jingjing Fu

DOI:

https://doi.org/10.54097/qv2cwv92

Keywords:

Robust Optimization, Correlation Analysis, Mathematical Planning, Crop Complementarity, Optimal Planting Strategy.

Abstract

With the rural revitalization strategy's deepening, North China's mountainous rural economy needs to shift from traditional to modern efficient agriculture. This paper proposes a robust optimization-based optimal crop planting strategy model for the region's unique conditions. It first introduces the area's topography, climate, and arable land resources, then presents a combined linear programming and robust optimization model. Model performance is validated through data preprocessing and market analysis, and its effectiveness is shown by comparison with traditional strategies. The study also analyzes crop substitutability and complementarity, offering practical recommendations for North China's mountainous areas. Results indicate that robust optimization can handle market and climate uncertainties, ensuring planting scheme efficiency. This research provides scientific support for agricultural decision-making in these regions and offers theoretical and practical references for similar agricultural optimization issues.

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