Research on Intelligent Planting Optimization of Soil Environment Based on Machine Learning Method

Yu Cao

2024

Abstract

Crops not only provide nutrients for human growth but also are the raw materials for many industries. There are a lot of food supply and food security issues. Crops play an important role in people’s lives. This study trained an intelligent model to judge the high-yield crops in this region based on the content of some elements in the soil and the characteristics of temperature and humidity. Training multiple logistic regression, random forest, and support vector classification (SVC) models provide an initial model for this investigation. The parameters of this initial model were optimized and adjusted to find the best model based on the soil intelligent planting problem. Overall accuracy, precision, and recall were selected as the evaluation indexes of the three models. The overfitting of the three models is alleviated by grid search cross-validation. Finally, it is found that the accuracy of the SVC algorithm reaches 0.99 on both the training set and the test set. This model has outstanding performance in intelligent planting problems. Training the smart planting model based on the soil environment can help farmers better select the best crops in different soils to achieve high yields. Dramatic improvements in land use efficiency and yield could ease today’s global food supply problems. The subsequent use of more accurate climate mitigation data collection equipment is expected to train an intelligent planting model that combines land mitigation and climate environment.

Paper Citation

in Harvard Style

Cao Y. (2024). Research on Intelligent Planting Optimization of Soil Environment Based on Machine Learning Method. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 481-487. DOI: 10.5220/0012824000004547

in Bibtex Style

@conference{icdse24,
author={Yu Cao},
title={Research on Intelligent Planting Optimization of Soil Environment Based on Machine Learning Method},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={481-487},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012824000004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Research on Intelligent Planting Optimization of Soil Environment Based on Machine Learning Method
SN - 978-989-758-690-3
AU - Cao Y.
PY - 2024
SP - 481
EP - 487
DO - 10.5220/0012824000004547
PB - SciTePress