A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
The rice leaves related diseases often pose threats to the sustainable production of rice affecting many farmers around the world. Early diagnosis and appropriate remedy of the rice leaf infection is crucial in facilitating healthy growth of the rice plants to ensure adequate supply and food securit...
Main Authors: | Bari, Bifta Sama, Islam, Md Nahidul, Rashid, Mamunur, Hasan, Md Jahid, Mohd Azraai, Mohd Razman, Musa, Rabiu Muazu, Ahmad Fakhri, Ab. Nasir, Majeed, Anwar P.P. Abdul |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2021
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/35164/1/A%20real-time%20approach%20of%20diagnosing%20rice%20leaf%20disease%20using%20deep%20learning-based%20faster%20R-CNN%20framework.pdf |
Similar Items
-
New hybrid deep learning approach using bigru-bilstm and multilayered dilated cnn to detect arrhythmia
by: Islam, Md Shofiqul, et al.
Published: (2022) -
Multimodal hybrid deep learning approach to detect tomato leaf disease using attention based dilated convolution feature extractor with logistic regression classification
by: Islam, Md Shofiqul, et al.
Published: (2022) -
The classification of blinking: an evaluation of significant time-domain features
by: Kai, Gavin Lim Jiann, et al.
Published: (2022) -
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
by: Rashid, Mamunur, et al.
Published: (2021) -
Heartbeat murmurs detection in phonocardiogram recordings via transfer learning
by: Almanifi, Omair Rashed Abdulwareth, et al.
Published: (2022)