Plant stem disease detection using machine learning approaches

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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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Bibliographic Details
Main Authors:	Md Akbar, Jalal Uddin, Syafiq Fauzi, Kamarulzaman, Tusher, Ekramul Haque
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2023
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/38202/ 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

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