Empirical Study on Multi Convolutional Layer-based Convolutional Neural Network Classifier for Plant Leaf Disease Detection

2020 ◽  
Author(s):  
C K Sunil ◽  
C D Jaidhar ◽  
Nagamma Patil
Keyword(s):  
Neural Network ◽  
Empirical Study ◽  
Convolutional Neural Network ◽  
Disease Detection ◽  
Neural Network Classifier ◽  
Plant Leaf ◽  
Leaf Disease

scholarly journals Grapes Leaf Disease Detection using Convolutional Neural Network

2019 ◽  
Vol 178 (20) ◽  
pp. 7-11
Author(s):  
Tanmay A. ◽  
R. M. ◽  
Sharvil V. ◽  
Snehal B.
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Disease Detection ◽  
Leaf Disease

scholarly journals Smart Farming: IoT Based Plant Leaf Disease Detection and Prediction using Deep Neural Network with Image Processing

2019 ◽  
Vol 8 (9) ◽  
pp. 3081-3083 ◽  
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Deep Neural Network ◽  
Human Life ◽  
Disease Detection ◽  
Plant Leaf ◽  
Leaf Disease ◽  
Agricultural Laborers ◽  
Smart Farming ◽  
Texture Size

Agriculture plays a major role in human life. Almost 60% of the population is involved directly or indirectly in some agriculture activity. But Nowadays, farmers have quit agriculture and shifted to other sectors due to less adoption of automation and other reasons like increase in the requirement of agricultural laborers. So, Farmers now largely depend on adoption of cognitive solutions with technological advancements to acquire the benefits. Image processing and Internet of Things jointly produces new dimensions in the field of smart precision farming. This proposed methodology aims to create an approach for plant leaf disease detection based on deep neural network. This approach combines IoT and image processing which runs preprocessing and feature extraction techniques by considering different features such as color, texture, size and performs classification using deep learning model that expands to help identification of plant leaf disease

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