Image Processing Based Automated Identification of Late Blight Disease from Leaf Images of Potato Crops

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124285" target="_blank" >RIV/00216305:26220/17:PU124285 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8076090" target="_blank" >https://ieeexplore.ieee.org/document/8076090</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2017.8076090" target="_blank" >10.1109/TSP.2017.8076090</a>

Result language
angličtina
Original language name
Image Processing Based Automated Identification of Late Blight Disease from Leaf Images of Potato Crops
Original language description
Late Blight is one of the most common and devastating disease for potato crops in all over the world. For less use of pesticide and to minimize loss of potato crops, identification of late blight disease is necessary. The conventional method of disease identification is based on visual assessments which is a time consuming process and involves manpower. The proposed work presents image processing based automated identification of late blight disease from leaf images. In the proposed method, adaptive thresholding is used for segmentation of disease affected area from leaf image. The threshold value is calculated using statistical features of image which makes the proposed system fully automatic and invariant under environmental conditions. The proposed method is tested on leaf images of potato crops obtained from plant village database associated with Land Grant Universities in the USA and achieved 96% accuracy. The experimental results indicate that proposed method for segmentation of disease affected area from leaf image is convincing and computationally cheap.
Czech name
—
Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 40th International Conference on Telecommunications and Signal Processing (TSP 2017)
ISBN
978-1-5090-3981-4
ISSN
1805-5435
e-ISSN
—
Number of pages
5
Pages from-to
758-762
Publisher name
Neuveden
Place of publication
Barcelona, Španělsko
Event location
Barcelona
Event date
Jul 5, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000425229000161

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