Proceedings of the 2025 International Conference on Agriculture and Resource Economy (ICARE 2025)

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Analysis of the Application of Big Data and Artificial Intelligence Based on Monitoring and Forecasting of Crop Pests and Diseases

Authors
Yuxiu Chen1, *, Yiwen Wei1, Miner Lin1, Zhenhua Wen1, Nuohan Zhang1
1School of Information Engineering, Guangzhou Vocational University of Science and Technology, Guangzhou, Guangdong, China
*Corresponding author. Email: 472074045@qq.com
Corresponding Author
Yuxiu Chen
Available Online 27 May 2025.
DOI
10.2991/978-94-6463-746-5_19How to use a DOI?
Keywords
Artificial intelligence; Crop pests and diseases; Monitoring and forecasting; Intelligent agricultural management
Abstract

This study explores the application of big data and artificial intelligence in monitoring and forecasting of crop pests and diseases, aiming to improve the intelligence and management efficiency of agricultural production. A comprehensive monitoring and forecasting system was constructed by integrating farmland environment, meteorology and crop growth data. The system utilizes algorithms such as multiple regression, time series, cluster analysis and machine learning to accurately predict pest and disease trends and provide real-time warnings. The study shows that the system can improve the timeliness and accuracy of pest control, provide scientific support for agricultural decision-making, reduce pesticide use, protect the environment, and promote sustainable agricultural development.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 International Conference on Agriculture and Resource Economy (ICARE 2025)
Series
Advances in Biological Sciences Research
Publication Date
27 May 2025
ISBN
978-94-6463-746-5
ISSN
2468-5747
DOI
10.2991/978-94-6463-746-5_19How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yuxiu Chen
AU  - Yiwen Wei
AU  - Miner Lin
AU  - Zhenhua Wen
AU  - Nuohan Zhang
PY  - 2025
DA  - 2025/05/27
TI  - Analysis of the Application of Big Data and Artificial Intelligence Based on Monitoring and Forecasting of Crop Pests and Diseases
BT  - Proceedings of the 2025 International Conference on Agriculture and Resource Economy (ICARE 2025)
PB  - Atlantis Press
SP  - 196
EP  - 204
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-746-5_19
DO  - 10.2991/978-94-6463-746-5_19
ID  - Chen2025
ER  -