Work

Linear Programming Based Optimization Method for Crop Planting Plots and Type Selection

Year: 2025

Type: conference-paper

Abstract: This paper presents a linear programming model for optimizing decisions on crop planting plots and types, solved using a particle swarm optimization algorithm to demonstrate its broad applicability. Initially, we developed an ideal foundational model. Subsequently, to address the variability of different factors, we incorporated correlation and substitutability to enhance the model's practical relevance. Numerical experiments indicate that the model is effective in optimizing crop planting decisions and offers robust theoretical support for agricultural decision-making, thereby improving agricultural production efficiency and promoting sustainable development.

Source: International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC)

DOI: 10.1145/3745533.3745538

Authors: Chunxia Lin, Zhiming Liu, Xiao Xu, Hong Wang

Institution: Shenzhen Technology University

Language: English

Topic: Optimization and Mathematical Programming

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: hybrid

Funder: Shenzhen Technology University