Machine Learning and Image Processing Techniques for Rice Disease Detection: A Critical Analysis

Machine Learning and Image Processing Techniques for Rice Disease Detection: A Critical Analysis

Early rice disease detection is vital in preventing damage to agricultural product output and quantity in the agricultural field. Manual observations of rice diseases are tedious, costly, and time-consuming, especially when classifying disease patterns and color while dealing with non-native disease...

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Bibliographic Details
Main Authors: Md. Mehedi Hasan, A F M Shahab Uddin, Mostafijur Rahman Akhond, Md. Jashim Uddin, Md. Alamgir Hossain, Md. Alam Hossain
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:International Journal of Plant Biology
Subjects:
rice plant diseases
feature extraction
machine learning
classification
convolutional neural network
Online Access:https://www.mdpi.com/2037-0164/14/4/87

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