Plant stem disease detection using machine learning approaches

• 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/38202/1/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; http://umpir.ump.edu.my/id/eprint/38202/; https://doi.org/10.1109/ICCCNT56998.2023.10307074

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...