scholarly journals Design for the methodology of plant leaf disease detection using image processing

2016 ◽  
Vol 7 (3) ◽  
Keyword(s):  
Image Processing ◽  
Disease Detection ◽  
Plant Leaf ◽  
Leaf Disease

scholarly journals Plant Leaf Disease Detection and Classification using Image Processing

2018 ◽  
Vol 5 (9) ◽  
pp. 516-523 ◽  
Author(s):  
Yin Min Oo ◽  
◽  
Nay Chi Htun ◽  
Keyword(s):  
Image Processing ◽  
Disease Detection ◽  
Plant Leaf ◽  
Leaf Disease

scholarly journals DETECTION OF PLANT LEAF DISEASES IN AGRICULTURE USING RECENT IMAGE PROCESSING TECHNIQUES – A REVIEW

2019 ◽  
Vol 7 (1) ◽  
pp. 29-33
Author(s):  
Arpan Singh Rajput ◽  
Shailja Shukla ◽  
S. S. Thakur
Keyword(s):  
Image Processing ◽  
State Of The Art ◽  
Disease Classification ◽  
Disease Detection ◽  
Plant Leaf ◽  
Leaf Disease ◽  
Processing Techniques ◽  
Large Work ◽  
Respective Product ◽  
Automatic Technique

Purpose: Agricultural productivity is something on which the economy highly depends in India as well in all over the world. India is an agriculture-dependent country; wherein about 70% of the population depends on agriculture. Methodology: This is one of the main reasons that disease detection in agriculture plays an important role, as having the disease in plant leaf is quite natural. If proper observations are not taken in the agriculture field then it causes serious effects on plants due to which respective product quality and productivity are affected. Detection of plant leaf disease through effective and accurate automatic technique is beneficial at the starting stage as it reduces a large work of monitoring in big farms of crops. Result: This paper presents the review on the state of the art disease classification techniques presently used using image processing that can be used for plant leaf disease detection in agriculture.

Plant Leaf Disease Detection Using Image Processing

2021 ◽  
pp. 161-168
Author(s):  
M. Sahana ◽  
H. Reshma ◽  
R. Pavithra ◽  
B. S. Kavya
Keyword(s):  
Image Processing ◽  
Disease Detection ◽  
Plant Leaf ◽  
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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