Crop Pest and Diseases Classification Using ResNet and Inception Network

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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...

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Bibliographic Details
Published in:	2024 5th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2024 - Proceedings
Main Author:	Tan Y.; Ali A.M.; Nordin S.; Wang J.; Li G.
Format:	Conference paper
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209626774&doi=10.1109%2fAiDAS63860.2024.10729964&partnerID=40&md5=585ef1a583be49f683b8c9bb20621243

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