Analysis of Crop Planting Strategies

In most mountainous areas of China, cultivated land resources are scarce, and natural conditions such as climate and topography have a great impact on crop cultivation. In order to improve the economic benefits of cultivated land in mountainous areas, it is particularly important to optimize planting strategies to cope with complex farming conditions and restrictions. Based on the arable land area, crop types and planting seasons of open air and greenhouse in a village in the mountains of North China, as well as the planting situation, per mu yield, planting cost and sales unit price in 2023, this paper studies the maximum utilization of land resources, establishes a planting strategy optimization model, and uses dynamic programming, Monte Carlo, robust optimization, sensitivity test and other methods. To solve the problems of scientific land management, excess sale, multi-factor time fluctuation, crop substitution, complementarity and correlation, so as to improve the agricultural production efficiency in mountainous areas and provide a scientific basis for the modernization and sustainable development of rural economy.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1145/3727993.3728095
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
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article

Analysis of Crop Planting Strategies

J. Chen, C. Wu, Y. Wang, Xin Gao et al.
Rice Cultivation and Yield Improvement
article

Analysis of Crop Planting Strategies

J. Chen, C. Wu, Y. Wang, Xin Gao, Weike Jiang, Yuhan Yu
article en

Abstract

In most mountainous areas of China, cultivated land resources are scarce, and natural conditions such as climate and topography have a great impact on crop cultivation. In order to improve the economic benefits of cultivated land in mountainous areas, it is particularly important to optimize planting strategies to cope with complex farming conditions and restrictions. Based on the arable land area, crop types and planting seasons of open air and greenhouse in a village in the mountains of North China, as well as the planting situation, per mu yield, planting cost and sales unit price in 2023, this paper studies the maximum utilization of land resources, establishes a planting strategy optimization model, and uses dynamic programming, Monte Carlo, robust optimization, sensitivity test and other methods. To solve the problems of scientific land management, excess sale, multi-factor time fluctuation, crop substitution, complementarity and correlation, so as to improve the agricultural production efficiency in mountainous areas and provide a scientific basis for the modernization and sustainable development of rural economy.

Yunnan Agricultural University (CN)
Zero hunger
Openalex Percentile: Top 83%
Rice Cultivation and Yield Improvement
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Analysis of Crop Planting Strategies — J. Chen, C. Wu, et al. · (2024) | TGRS Research Map | TGRS