Agriculture Optimization Based on Linear Programming and Python Algorithm: Take Sichuan Province as an Example

Kaiquan Fan

2025

Abstract

Food is the paramount necessity of the people. Increasing the yield of food is always the most significant thing for every country in the world. Only those countries that struggle improving their technology in planting planning obtain achievement and success in the fight against hunger and poverty. Blindly expanding the sown areas not only unduly takes up labor and land sources, but also may undermine the process of social industrialization. In this case, the best way to boost yield is to improve the level of resources utilization. Based on the agricultural data of Sichuan province from 2011 to 2022 and 3 types of crops taken as an example, this study constructs math model and use machine language to find the optimal solution of planting planning. The study innovates a universal model to analyze and optimize problems under multi-constrains. With increasingly more relevant and influential factors added and trained with more detailed data, more accurate and more mature the model is.

Paper Citation

in Harvard Style

Fan K. (2025). Agriculture Optimization Based on Linear Programming and Python Algorithm: Take Sichuan Province as an Example. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 157-161. DOI: 10.5220/0014324000004718

in Bibtex Style

@conference{emiti25,
author={Kaiquan Fan},
title={Agriculture Optimization Based on Linear Programming and Python Algorithm: Take Sichuan Province as an Example},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={157-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014324000004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Agriculture Optimization Based on Linear Programming and Python Algorithm: Take Sichuan Province as an Example
SN - 978-989-758-792-4
AU - Fan K.
PY - 2025
SP - 157
EP - 161
DO - 10.5220/0014324000004718
PB - SciTePress