Towards intelligent and integrated pest management through an AIoT-based monitoring system
Journal
Pest management science
Journal Volume
78
Journal Issue
10
Pages
4288
Date Issued
2022-10
Author(s)
Rustia, Dan Jeric Arcega
Chiu, Lin-Ya
Lu, Chen-Yi
Wu, Ya-Fang
Chen, Sheng-Kuan
Chung, Jui-Yung
Abstract
Main bottleneck in facilitating integrated pest management (IPM) is the unavailability of reliable and immediate crop damage data. Without sufficient insect pest and plant disease information, farm managers are unable to make proper decisions to prevent crop damage. This work aims to present how an integrated system was able to drive farm managers towards sustainable and data-driven IPM.
Subjects
artificial intelligence of things (AIoT); data analytics; deep learning; integrated pest management (IPM); monitoring system
Publisher
JOHN WILEY & SONS LTD
Type
journal article