Digital image processing techniques for detecting, quantifying and classifying plant diseases
JG Arnal Barbedo - SpringerPlus, 2013 - Springer
This paper presents a survey on methods that use digital image processing techniques to
detect, quantify and classify plant diseases from digital images in the visible spectrum …
detect, quantify and classify plant diseases from digital images in the visible spectrum …
Non-destructive techniques of detecting plant diseases: A review
Plant diseases contribute to significant economic and post-harvest losses in agricultural
production sector all over the world. Early detection of plant diseases and pathogens is …
production sector all over the world. Early detection of plant diseases and pathogens is …
Image recognition of four rice leaf diseases based on deep learning and support vector machine
F Jiang, Y Lu, Y Chen, D Cai, G Li - Computers and Electronics in …, 2020 - Elsevier
In the field of agricultural information, identification and prediction of rice leaf diseases has
always been a research focus. Deep learning and support vector machine (SVM) technology …
always been a research focus. Deep learning and support vector machine (SVM) technology …
[HTML][HTML] Performance analysis of deep learning CNN models for disease detection in plants using image segmentation
P Sharma, YPS Berwal, W Ghai - Information Processing in Agriculture, 2020 - Elsevier
Food security for the 7 billion people on earth requires minimizing crop damage by timely
detection of diseases. Most deep learning models for automated detection of diseases in …
detection of diseases. Most deep learning models for automated detection of diseases in …
A novel approach for rice plant diseases classification with deep convolutional neural network
Agriculture is one of the major revenue-producing fields and a source of livelihood in India.
On the largest regions in India, rice is cultivated as an essential food. It is observed that rice …
On the largest regions in India, rice is cultivated as an essential food. It is observed that rice …
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
In agriculture, plant diseases are primarily responsible for the reduction in production which
causes economic losses. In plants, citrus is used as a major source of nutrients like vitamin …
causes economic losses. In plants, citrus is used as a major source of nutrients like vitamin …
Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions
Abstract Convolutional Neural Networks (CNN) have demonstrated their capabilities on the
agronomical field, especially for plant visual symptoms assessment. As these models grow …
agronomical field, especially for plant visual symptoms assessment. As these models grow …
A review of advanced machine learning methods for the detection of biotic stress in precision crop protection
Effective crop protection requires early and accurate detection of biotic stress. In recent
years, remarkable results have been achieved in the early detection of weeds, plant …
years, remarkable results have been achieved in the early detection of weeds, plant …
Development of soft computing and applications in agricultural and biological engineering
Soft computing is a set of “inexact” computing techniques, which are able to model and
analyze very complex problems. For these complex problems, more conventional methods …
analyze very complex problems. For these complex problems, more conventional methods …
[PDF][PDF] Soybean plant disease identification using convolutional neural network
Plants have become an important source of energy, and are a fundamental piece in the
puzzle to solve the problem of global warming. However, plant diseases are threatening the …
puzzle to solve the problem of global warming. However, plant diseases are threatening the …