An Image Based Classification and Prediction of Diseases on Cotton Leaves Using Deep Learning Techniques
Author:
Affiliation:
1. Kongu Engineering College,Department of Computer Applications,Erode
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10128170/10128171/10128306.pdf?arnumber=10128306
Reference17 articles.
1. New perspectives on plant disease characterization based on deep learning
2. Inception-v3 for flower classification;xia;in 2017 2nd International Conference on Image Vision and Computing (ICIVC),2017
3. Disease detection of apple leaf with combination of color segmentation and modified DWT
4. Leaf image based plant disease identification using transfer learning and feature fusion
5. Deep convolutional neural network Inception-v3 model for differential diagnosing of lymph node in cytological images: a pilot study
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