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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20206 - Computer hardware and architecture

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 40th International Conference on Telecommunications and Signal Processing (TSP 2017)

ISBN

978-1-5090-3981-4

ISSN

1805-5435

e-ISSN

—

Počet stran výsledku

5

Strana od-do

758-762

Název nakladatele

Neuveden

Místo vydání

Barcelona, Španělsko

Místo konání akce

Barcelona

Datum konání akce

5. 7. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000425229000161