Enhancing Rice Crop Management: Disease Classification Using Convolutional Neural Networks and Mobile Application Integration

Enhancing Rice Crop Management: Disease Classification Using Convolutional Neural Networks and Mobile Application Integration

Early diagnosis of rice disease is important because it poses a considerable threat to agricultural productivity as well as the global food security of the world. It is challenging to obtain more reliable outcomes based on the percentage of RGB value using image processing outcomes for rice disease...

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Bibliographic Details
Main Authors: Md. Mehedi Hasan, Touficur Rahman, A. F. M. Shahab Uddin, Syed Md. Galib, Mostafijur Rahman Akhond, Md. Jashim Uddin, Md. Alam Hossain
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Agriculture
Subjects:
image processing
CNN model
K-means clustering
disease classification
Online Access:https://www.mdpi.com/2077-0472/13/8/1549

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https://www.mdpi.com/2077-0472/13/8/1549

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