Analysis of DenseNet201 with SGD optimizer for diagnosis of multiple rice leaf diseases
Author:
Affiliation:
1. Chitkara University Insititue 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/ielx7/10097038/10097039/10097046.pdf?arnumber=10097046
Reference12 articles.
1. Investigation on Data Fusion of Multisource Spectral Data for Rice Leaf Diseases Identification Using Machine Learning Methods
2. Segmentation of Rice Seedling using Deep Learning Algorithm
3. An Efficient Convolutional Neural Network for Paddy Leaf Disease and Pest Classification
4. Detection Of Leaf Diseases in Pulses, Fruits and Vegetables
5. An Efficient Convolutional Neural Network for Paddy Leaf Disease and Pest Classification
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