crop disease
Crop Disease Identification Research Based on Image Segmentation Technology
... the crop disease is an important factor limiting the growth of farmers, which causes huge loss and a direct influence on the crop ...traditional disease detection method not only time ...
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Quantitative identification of crop disease and nitrogen-water stress in winter wheat using continuous wavelet analysis
... Crop disease monitoring can be implemented by identifying different stresses and estimating the DI. Based on the result of stresses discrimination using SBs, VIs and WFs, the best one among the above three ...
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Smart and Integrated Crop Disease Identification System
... all, crop disease is the grave factor and causes some amount of reduction of the productivity in case of its ...the disease of the crop is much more important factor affecting the productivity ...
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Impacts of changing air composition on severity of arable crop disease epidemics
... of crop disease epidemics that com- bines weather-based disease models, crop models and climate scenarios (Luo et ...the disease and crop ...new crop culti- vars with ...
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The Comparative Analysis of The Filtering Schemes In Crop Disease Detection
... rice crop may affected by the various diseases such as Sheath Blight, Bacterial Blight, Rice Blast, Sheath Rot, Bakanae and Brown ...The crop disease detection is more important during the process of ...
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Climate change and arable crop disease control: mitigation and adaptation
... how disease control in arable crops can make a contribution to both climate change mitigation and sustainable arable crop ...on crop-disease interactions to guide strategies for adaptation to ...
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Comparative Study of Artificial Neural Networks and Convolutional Neural Network for Crop Disease Detection
... early disease detection and classification in crops. The crop disease detection and classification will be done using image processing techniques of image segmentation, feature extraction, feature ...
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A Survey On Crop Disease Detection And Prevention Using Android Application
... This module of application provides static information about different soil types, by using this type of data user may get important information about soil types. It helps user to decide which type of crop is best ...
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Improving crop disease resistance : lessons from research on Arabidopsis and tomato
... in disease resistance. A future promising approach to improve disease resistance could be to combine known PRRs and NLR R genes in a same cultivar that would confer simultaneously increased resistance to a ...
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CROP DISEASE IDENTIFICATION USING A FEATURE EXTRACTION HOG ALGORITHM
... of crop diseases is essential to improve the agricultural ...the crop diseases, but the accuracy is considered to be issue over all the researches performed so ...
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Arable Crop Disease Alert System - AHDB Project Report 594
... The project was a fusion of engineering, IT, electronics, molecular biology, aerobiology and field biology, which aimed to produce an automated air sampling device, able to use a DNA-based method to detect spores of key ...
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An Enhanced Feature Extraction Model for the Information Retrieval In Crop Disease Detection
... The colour occurrence method with the colour extraction was suggested by Sachin et al for digital images. The smoothing filter was used with the histogram equalization in the pre-processing stage of images. The intensity ...
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Arable Crop Disease Alert System - AHDB Project Report 594
... each disease leading to differences in the strength of spore ...of disease risk also varies from pathogen species to species as some require a greater concentration of spores to establish a successful focus ...
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Farmer Advisory: A Crop Disease Detection System
... the disease as soon as it starts spreading on the top layer of the leaves using remote sensing ...particular disease using KNN algorithm and also intimate the agriculturists with an early alert message ...
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AN IDENTIFICATION OF CROP DISEASE USING IMAGE SEGMENTATION
... Computer process systems are developed for agricultural applications appreciate detection of leaf diseases, fruits diseases, etc. altogether these techniques, digital pictures are collected employing a camera and image ...
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Crop Disease Detector using Drone and Matlab
... Computer vision technologies have enabled manufacturers to automate a wide range of tasks. However, even though computer vision technology has developed in general, special efforts are required to make such complex ...
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Title: Two Stage Classification Model for Crop Disease Prediction
... In this present work, prediction of agricultural disease is done be defining neural and HMM adaptive method. It involved three main stages-On datasets attributes the weight identification is done using fuzzy ...
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Optimal use of crop disease-resistance genes
... The problem of gene use can now be stated as being to choose a sequence of crop compositions which are optimal according to the c r i t e r i o n of o p t i m a l i t y accepted by the plant breeder. This is ...
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A Multilevel Segmentation Process In Crop Disease Detection
... Rice is one of the domain most life-sustaining aliment crops. To a higher degree, a large circumstances of the humans on the planet consumes this grain as the basic piece of their dinners. Therein way, rice assortments ...
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Ontology based expert system for pests and disease management of cotton crop in india
... pattern, crop disease at specific location and different pests were retrieved from various types of resource such as satellites remotely located, services and sensor connected in ...cotton crop ...
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