THE CROP PLANTING PROBLEM BASED ON THE OPTIMIZATION MODEL

The development of modern agricultural technology and the limited cultivated land planting resources in China make people pay more attention to the choice of planting plan. In the process of crop planting, whether farmers can comprehensively consider the impact of market price fluctuations, climate change and related commodities (substitutes and complementary products) on the sales unit price, and then make reasonable prediction and estimation of sales volume and output of agricultural products, which has far-reaching significance for the correct choice of planting plan. At the same time on the basis of fully considering the unique properties of different terrain, need to study the diversity of crop species and the adaptation of environment, clever use of refinement means such as rotation and terrain partition, constantly optimize planting layout strategy, and implement dynamic adjustment mechanism, to ensure that planting scheme can follow the environmental change, accurately realize the maximum maximization under the established conditions. In order to meet the farmers' yearning for a better life, this paper reasonably arranges the replacement planting of the optimal crops on various types of land in different seasons, which can effectively balance the unsalable sales and reduced sales caused by the large gap between the expected sales volume and the actual production volume, so as to maximize the annual net income. In view of the uncertainty of crop market and yield, especially the dynamic balance between per-mu yield and expected sales volume, this paper proposes targeted planting adjustment strategies to ensure the effectiveness of planting scheme and the stability of income.

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Publication Details

Journal
Eurasia Journal of Science and Technology
Published
2025-03-24
DOI
https://doi.org/10.61784/ejst3073
Primary Topic
Advanced Computational Techniques and Applications
Type
article
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article

THE CROP PLANTING PROBLEM BASED ON THE OPTIMIZATION MODEL

Eurasia Journal of Science and Technology
Advanced Computational Techniques and Applications
article

THE CROP PLANTING PROBLEM BASED ON THE OPTIMIZATION MODEL

article en

Abstract

The development of modern agricultural technology and the limited cultivated land planting resources in China make people pay more attention to the choice of planting plan. In the process of crop planting, whether farmers can comprehensively consider the impact of market price fluctuations, climate change and related commodities (substitutes and complementary products) on the sales unit price, and then make reasonable prediction and estimation of sales volume and output of agricultural products, which has far-reaching significance for the correct choice of planting plan. At the same time on the basis of fully considering the unique properties of different terrain, need to study the diversity of crop species and the adaptation of environment, clever use of refinement means such as rotation and terrain partition, constantly optimize planting layout strategy, and implement dynamic adjustment mechanism, to ensure that planting scheme can follow the environmental change, accurately realize the maximum maximization under the established conditions. In order to meet the farmers' yearning for a better life, this paper reasonably arranges the replacement planting of the optimal crops on various types of land in different seasons, which can effectively balance the unsalable sales and reduced sales caused by the large gap between the expected sales volume and the actual production volume, so as to maximize the annual net income. In view of the uncertainty of crop market and yield, especially the dynamic balance between per-mu yield and expected sales volume, this paper proposes targeted planting adjustment strategies to ensure the effectiveness of planting scheme and the stability of income.

Eurasia Journal of Science and TechnologyVol. 7(2)
Xi'an International Studies University (CN), Xi'an University of Finance and Economics (CN), Xi’an International University (CN)
Zero hunger
Openalex Percentile: Top 98%
Advanced Computational Techniques and Applications
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