Plant stem disease detection using machine learning approaches

The rapid identification of plant stem diseases is crucial for implementing timely intervention and minimizing crop loss. While previous research has primarily focused on leaf-based disease detection, this paper proposes an automated stem disease detection and classification model using digital imag...

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书目详细资料
Main Authors: Md Akbar, Jalal Uddin, Syafiq Fauzi, Kamarulzaman, Tusher, Ekramul Haque
格式: Conference or Workshop Item
语言:English
English
出版: IEEE 2023
主题:
在线阅读:http://umpir.ump.edu.my/id/eprint/38202/1/Plant%20stem%20disease%20detection%20using%20machine%20learning%20approaches.pdf
http://umpir.ump.edu.my/id/eprint/38202/2/Plant%20stem%20disease%20detection%20using%20machine%20learning%20approaches_abst.pdf