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Agricultural Plant Disease Detection and its Treatment using Image Processing

Author(s):

Jundare Manisha Ashok , Jaihind college of Engineering,kuran ; Jundare Pallavi Tanaji, Jaihind college of Engineering,kuran ; Juundare Pragti Vikas, Jaihind college of Engineering,kuran ; Prof. C.S. Aryan, Jaihind college of Engineering,kuran

Keywords:

Image Acquisition, Plant Diseases, Pre-processing, Segmentation, Feature Extraction, Support Vector Machine, Artificial Neural Network

Abstract

Recognizable proof of the plant ailments is the way to keeping the misfortunes in the yield and amount of the agrarian item. The plant's investigations ailments mean the investigations of outwardly detectable examples seen on the plant. Wellbeing observing what's more, ailment location on plant is extremely basic for feasible farming. It is extremely hard to screen the plant illnesses physically. It requires colossal measure of work, expertise in the plant maladies, furthermore require the extreme preparing time. Consequently, picture handling is utilized for the identification of plant ailments. Malady recognition includes the progressions like picture obtaining, picture pre-handling, picture division, highlight extraction and arrangement. This paper talked about the routines utilized for the identification of plant infections utilizing their leaves pictures. This paper additionally talked about some division and highlight extraction calculation utilized as a part of the plant illness discovery.

Other Details

Paper ID: IJSRDV3I80261
Published in: Volume : 3, Issue : 8
Publication Date: 01/11/2015
Page(s): 873-876

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