An Optimized Deep Learning Model for Grassy Shoot Disease Prediction in Sugarcane
Author:
Affiliation:
1. Chitkara University Institute of Engineering & Technology, Chitkara University,Punjab,India
2. MM Engg college, Maharishi Markandeshwar (Deemed to be University),Dept. of CSE,Mullana,Haryana,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10125569/10125286/10126045.pdf?arnumber=10126045
Reference21 articles.
1. A novel hybrid CNN–SVM classifier for recognizing handwritten digits
2. Hybrid CNN-SVM Classifier for Handwritten Digit Recognition
3. Convolution neural network deployment for plant leaf diseases detection;cherifi;Lecture Notes in Networks and Systems,2023
4. Image recognition of four rice leaf diseases based on deep learning and support vector machine
5. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
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