Journal ArticleDOI
A Hybrid Approach for Plant Leaf Disease Detection and Classification Using Digital Image Processing Methods
Anusha Rao,S. B. Kulkarni +1 more
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TLDR
This research presents a novel approach called "Smart grids" that combines computer vision and machine learning based approaches to solve the problem of smart grids in the field of agriculture.Abstract:
Detection of plant leaf disease has been considered an interesting research field which is helpful to improve the crop and fruit yield. Computer vision and machine learning based approaches have ga...read more
Citations
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Journal ArticleDOI
Hybrid Feature-Based Disease Detection in Plant Leaf Using Convolutional Neural Network, Bayesian Optimized SVM, and Random Forest Classifier
Ashutosh Kumar Singh,S.V.N Sreenivasu,U.S.B.K. Mahalaxmi,Himanshu Sharma,Dinesh D. Patil,Evans Asenso +5 more
TL;DR: Two methodologies will enable farmers all over the world to take early action to prevent their crops from becoming irreversibly damaged, thereby saving the world and themselves from a potential economic crisis.
Journal ArticleDOI
DBA_SSD: A Novel End-to-End Object Detection Algorithm Applied to Plant Disease Detection
TL;DR: Zhang et al. as discussed by the authors proposed a novel plant leaf disease detection method called deep block attention SSD (DBA_SSD) for disease identification and disease degree classification of plant leaves.
Book ChapterDOI
BGCNN: A Computer Vision Approach to Recognize of Yellow Mosaic Disease for Black Gram
TL;DR: In this article, a black gram convolutional neural network (BGCNN) has been proposed for the recognition of this disease, and the performance of BGCNN has compared with the state-of-the-art deep learning models such as AlexNet, VGG16, and Inception V3.
Proceedings ArticleDOI
Image quality enhancement for Wheat rust diseased images using Histogram equalization technique
TL;DR: In this article, the histogram features (statistical feature) are extracted for further recognition of wheat rust diseased images, which is a good approach to enhance the pixel intensity of an image.
Posted ContentDOI
DBA_SSD ： A Novel End-to-End Object Detection Using Deep Attention Module for Helping Smart Device with Vegetable and Fruit Leaf Plant Disease Detection
TL;DR: Experiments show that DBA_SSD outperforms the two other improved algorithms, and its performance in comparative analysis is superior to other target detection algorithms.
References
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Journal ArticleDOI
Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification
TL;DR: A new approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks, which is able to recognize 13 different types of plant diseases out of healthy leaves.
Journal ArticleDOI
Detection of plant leaf diseases using image segmentation and soft computing techniques
Vijai Singh,Anoop Misra +1 more
TL;DR: An algorithm for image segmentation technique which is used for automatic detection and classification of plant leaf diseases and also covers survey on different diseases classification techniques that can be used for plant leaf disease detection.
Journal ArticleDOI
Original paper: Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
Till Rumpf,Anne-Kathrin Mahlein,Ulrike Steiner,Erich-Christian Oerke,H. W. Dehne,Lutz Plümer +5 more
TL;DR: A procedure for the early detection and differentiation of sugar beet diseases based on Support Vector Machines and spectral vegetation indices to discriminate diseased from non-diseased sugar beet leaves and to identify diseases even before specific symptoms became visible.
Journal ArticleDOI
Threat to future global food security from climate change and ozone air pollution
TL;DR: In this paper, the authors show that climate change has the potential to substantially increase undernourishment rates and threaten food security in developing countries through crop damage, but that ozone regulation can significantly offset climate impacts, depending on the scenario.
Journal ArticleDOI
Recent advances in sensing plant diseases for precision crop protection
TL;DR: This review outlines recent insights in the use of non-invasive optical sensors for the detection, identification and quantification of plant diseases on different scales.
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