Maize leaf disease classification using deep convolutional neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04228-3
Abstract: Crop diseases are a major threat to food security. Identifying the diseases rapidly is still a difficult task in many parts of the world due to the lack of the necessary infrastructure. The accurate identification… read more here.
Keywords: classification; leaf disease; deep convolutional; convolutional neural ... See more keywords
Three-channel convolutional neural networks for vegetable leaf disease recognition
Sign Up to like & getrecommendations! Published in 2019 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2018.04.006
Abstract: Abstract The color information of diseased leaf is the main basis for leaf based plant disease recognition. To make use of color information, a novel three-channel convolutional neural networks (TCCNN) model is constructed by combining… read more here.
Keywords: leaf disease; disease; channel; vegetable leaf ... See more keywords
Detection of oil palm leaf disease based on color histogram and supervised classifier
Sign Up to like & getrecommendations! Published in 2021 at "Optik"
DOI: 10.1016/j.ijleo.2021.167753
Abstract: Abstract The diseases of oil palm plants ordinarily emerge on the leaves, causing a decrease in the quality of the crop. It needs to address since the demand for high-grade quality palm oil increase continuously.… read more here.
Keywords: oil palm; palm leaf; leaf disease; oil ... See more keywords
A novel computer vision based neutrosophic approach for leaf disease identification and classification
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2018.12.027
Abstract: Abstract The natural products are inexpensive, non-toxic, and have fewer side effects. Thus, their demand especially herbs based medical products, health products, nutritional supplements, cosmetics etc. are increasing. The quality of leafs defines the degree… read more here.
Keywords: leaf disease; identification; disease; disease identification ... See more keywords
Wolbachia (Rickettsiales: Alphaproteobacteria) Infection in the Leafhopper Vector of Sugarcane White Leaf Disease
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Insect Science"
DOI: 10.1093/jisesa/ieaa053
Abstract: Abstract Wolbachia is a maternally inherited bacterium ubiquitous in insects that has attracted interest as a prospective insect pest-control agent. Here, we detected and characterized Wolbachia in the leafhoppers Matsumuratettix hiroglyphicus (Matsumura) (Cicadellidae: Hemiptera) and… read more here.
Keywords: flavovittatus; leaf disease; sugarcane; white leaf ... See more keywords
Leaf Disease Detection Based on Lightweight Deep Residual Network and Attention Mechanism
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3272985
Abstract: In today’s leaf disease detection, the accuracy of recognition has never been of such importance as it is now. In this aspect, leaf disease recognition method based on machine learning relies heavily on the size… read more here.
Keywords: residual network; attention mechanism; disease detection; disease ... See more keywords
Crop leaf disease grade identification based on an improved convolutional neural network
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.29.1.013004
Abstract: Abstract. To achieve high yield of crops and to avoid pesticide abuse, different control methods have been adopted according to different degrees of disease in crop plants. To address the issue, a leaf disease grade… read more here.
Keywords: disease grade; leaf disease; grade identification; disease ... See more keywords
An Improved Deep Residual Convolutional Neural Network for Plant Leaf Disease Detection
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5102290
Abstract: In this research, we proposed a novel deep residual convolutional neural network with 197 layers (ResNet197) for the detection of various plant leaf diseases. Six blocks of layers were used to develop ResNet197. ResNet197 was… read more here.
Keywords: deep residual; leaf disease; plant leaf; plant ... See more keywords
Maize leaf disease identification based on WG-MARNet
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0267650
Abstract: In deep learning-based maize leaf disease detection, a maize disease identification method called Network based on wavelet threshold-guided bilateral filtering, multi-channel ResNet, and attenuation factor (WG-MARNet) is proposed. This method can solve the problems of… read more here.
Keywords: based marnet; maize leaf; disease; leaf disease ... See more keywords
Natural occurrence and diagnosis of yellow leaf disease affecting sugarcane genotypes under tropical and sub-tropical conditions in India
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Environmental Biology"
DOI: 10.22438/jeb/41/6/mrn-1286
Abstract: Aim: To diagnose the cause of yellow leaf disease (YLD) and to record its incidence in the 189 sugarcane genotypes planted under tropical (n= 47) and sub-tropical (n= 142) conditions in India during 2016–17 and… read more here.
Keywords: leaf disease; sub tropical; sugarcane genotypes; disease ... See more keywords
Lightweight-Convolutional Neural Network for Apple Leaf Disease Identification
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.831219
Abstract: As a widely consumed fruit worldwide, it is extremely important to prevent and control disease in apple trees. In this research, we designed convolutional neural networks (CNNs) for five diseases that affect apple tree leaves… read more here.
Keywords: convolutional neural; apple; apple leaf; model ... See more keywords