Crop Pest and Diseases Classification Using ResNet and Inception Network

Traditional identification and classification methods of pests and diseases mainly rely on manual experience and feature extraction, which have the disadvantages of low accuracy and being easily affected by lighting, angle, and other conditions. Therefore, how to identify and predict crop pests and...

詳細記述

書誌詳細
出版年:2024 5th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2024 - Proceedings
第一著者: 2-s2.0-85209626774
フォーマット: Conference paper
言語:English
出版事項: Institute of Electrical and Electronics Engineers Inc. 2024
オンライン・アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209626774&doi=10.1109%2fAiDAS63860.2024.10729964&partnerID=40&md5=585ef1a583be49f683b8c9bb20621243