Research on Crop Planting Strategy of a Certain Village

DOI

10.2991/978-94-6463-992-6_9How to use a DOI?

Keywords

Linear programming; Pearson correlation coefficient; Cluster analysis; Monte Carlo simulation

Abstract

In the context of rural revitalization and efficient agricultural resource allocation, this study develops a mathematical model to optimize crop planting strategies (2024–2030) for a mountainous village in North China, considering diverse land types and planting constraints. A linear programming model is first built based on plot types, aiming to maximize profits while adhering to cropping rules and rotation requirements. Pearson correlation and K-means clustering are then used to analyze economic relationships and classify crops for better substitution and complementarity. Integrating land suitability and crop correlations, a multi-objective optimization model is proposed to balance yield, cost, and market demand. The results provide a data-driven strategy for sustainable and efficient agricultural planning in resource-constrained villages¹.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Shiwen Liu
AU  - Tao Huang
AU  - Dongling Chen
PY  - 2026
DA  - 2026/02/20
TI  - Research on Crop Planting Strategy of a Certain Village
BT  - Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025)
PB  - Atlantis Press
SP  - 72
EP  - 84
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-992-6_9
DO  - 10.2991/978-94-6463-992-6_9
ID  - Liu2026
ER  -