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Plant Leaf Disease Detection using Image Processing
Author(s) -
Bukka Aswitha,
Ravi kumar C.V,
P Venugopal
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.f4597.059720
Subject(s) - cluster analysis , disease , support vector machine , computer science , feature extraction , plant disease , artificial intelligence , agriculture , gray level , image processing , classifier (uml) , pattern recognition (psychology) , machine learning , data mining , geography , image (mathematics) , microbiology and biotechnology , medicine , biology , pathology , archaeology
This offered Work makes open to, a advance computing technology that has been undergone growth to help the farmer to take higher decision about many aspects of the years produce development process. Due to increased production, exact evaluation & diagnosis is being difficult. There is an production, economic losses as well as reduction in quality and quantity of agricultural products. Now a day‟s plant diseases discovery has received increasing attention in looking at greatly sized field of the years produce. In this paper we need of simple plant Leaves disease discovery system that would help moves-forward in farming. Early information on the years produce being healthy and disease discovery can help the control of diseases through right business manager‟s designs. This way of doing will gets better amount production of the years produce. This paper also makes a comparison the benefits and limiting conditions of these possible & unused quality ways of doing. It includes several steps viz. image acquisition, image pre-processing, features extraction and minimum distance classifires. Keywords— Disease detection, Image acquisition, pre-processing, features extraction, classification.

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