Year: 2025
Type: conference-paper
Abstract: Agricultural cultivation requires reasonable planning to crop varieties and planting areas based on farmland factors and the year. Therefore, continuously optimizing planting strategy according to actual conditions is crucial for agricultural development. This article is based on the obtained planting related data for this year, establishes a mathematical modeling for analysis, and then provides reasonable planting strategies for future years. K-means clustering analysis can calculate the expected sales of various agricultural products, and the profits of different crops are calculated separately, and an objective function with the goal of maximizing annual profits are constructed. Using two-dimensional linear programming, the optimal planting plans for crops over the next seven years are determined.
Authors: Shizhuang Gu, Kaize Xu, Xiaoyu Shen
Institution: University of Nottingham Ningbo China
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Zero hunger
Open Access status: hybrid
OpenAlex ID: W4413520969