https://scholars.lib.ntu.edu.tw/handle/123456789/629958
標題: | Towards intelligent and integrated pest management through an AIoT-based monitoring system | 作者: | Rustia, Dan Jeric Arcega Chiu, Lin-Ya Lu, Chen-Yi Wu, Ya-Fang Chen, Sheng-Kuan Chung, Jui-Yung JU-CHUN HSU TA-TE LIN |
關鍵字: | artificial intelligence of things (AIoT); data analytics; deep learning; integrated pest management (IPM); monitoring system | 公開日期: | 十月-2022 | 出版社: | JOHN WILEY & SONS LTD | 卷: | 78 | 期: | 10 | 起(迄)頁: | 4288 | 來源出版物: | Pest management science | 摘要: | 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. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/629958 | ISSN: | 1526-498X | DOI: | 10.1002/ps.7048 |
顯示於: | 昆蟲學系 |
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