Deep Transfer Learning-Based Rice Leaves Disease Diagnosis and Classification model using InceptionV3
Author:
Affiliation:
1. Ajay Kumar Garg Engineering College,Department of CSE,Ghaziabad,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9844268/9844270/09844374.pdf?arnumber=9844374
Reference27 articles.
1. Using Deep Learning for Image-Based Plant Disease Detection
2. Paddy diseases identification with texture analysis using fractal descriptors based on fourier spectrum
3. Prediction of Rice Disease from Leaves using Deep Convolution Neural Network towards a Digital Agricultural System
4. Identification of rice diseases using deep convolutional neural networks
5. Application of machine learning in the detection of blast disease in South Indian rice crops;ramesh;Phytologist,2019
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1. Advanced Hybrid Model for Multi Paddy diseases detection using Deep Learning;EAI Endorsed Transactions on Pervasive Health and Technology;2023-11-27
2. Detection and Identification of Rice Pests Using Memory Efficient Convolutional Neural Network;2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE);2023-01-20
3. Deep Learning Techniques for the Automatic Detection and Classification of Rice Diseases;Information and Communication Technology for Competitive Strategies (ICTCS 2022);2023
4. Improved Rice Leaf Disease Detection using Fusion of Otsu Thresholding and Thepade SBTC Features;2022 International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC);2022-12-28
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