A Study of Crop Planting Strategies Based on the MILP Model and Monte Carlo Simulation

The aim of this paper is to investigate crop cultivation strategies through mixed integer linear programming (MILP) models and Monte Carlo simulations. Firstly, based on 2023 data, the MILP model was constructed to maximise net returns and minimise stunting losses, and the impact of different market response strategies on economic efficiency was analysed. Second, the Monte Carlo simulation method was used to dynamically adjust the planting layout to cope with market fluctuations by taking into account the growth trend of crop sales and the uncertainty of other crop parameters. Finally, through the correlation analysis between crops, the substitutability and complementarity between crops were explored in depth to further optimise the planting strategy. The methodology of this paper provides an important reference for the optimization of crop planting strategies in similar regions, showing the potential of the MILP model and Monte Carlo simulation.

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Published
2025-03-17
DOI
https://doi.org/10.1109/eespe63401.2025.10986993
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
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article

A Study of Crop Planting Strategies Based on the MILP Model and Monte Carlo Simulation

Ke-min YAO, Zilong Tan, Di Wu
Soil Mechanics and Vehicle Dynamics
article

A Study of Crop Planting Strategies Based on the MILP Model and Monte Carlo Simulation

Ke-min YAO, Zilong Tan, Di Wu
article en

Abstract

The aim of this paper is to investigate crop cultivation strategies through mixed integer linear programming (MILP) models and Monte Carlo simulations. Firstly, based on 2023 data, the MILP model was constructed to maximise net returns and minimise stunting losses, and the impact of different market response strategies on economic efficiency was analysed. Second, the Monte Carlo simulation method was used to dynamically adjust the planting layout to cope with market fluctuations by taking into account the growth trend of crop sales and the uncertainty of other crop parameters. Finally, through the correlation analysis between crops, the substitutability and complementarity between crops were explored in depth to further optimise the planting strategy. The methodology of this paper provides an important reference for the optimization of crop planting strategies in similar regions, showing the potential of the MILP model and Monte Carlo simulation.

Dalian Naval Academy
Zero hunger
Openalex Percentile: Top 89%
Soil Mechanics and Vehicle Dynamics
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A Study of Crop Planting Strategies Based on the MILP Model and Monte Carlo Simulation — Ke-min YAO, Zilong Tan, et al. · (2025) | TGRS Research Map | TGRS