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A Survey on Detection and Computing the Amount of Plant Diseases using Image Processing
Shravankumar Arjunagi*, Dr. Nagaraj.B.Patil**, Sharanbasappa Honnashetty

Published in: Journal for Advance Research in Applied Sciences
Volume- 4, Issue-7, pp.292-299, Dec 2017
DPI :-> 16.10089.JARAS.2017.V4I7.292299.2251



Abstract
Agriculture has become a means to feed ever growing population. Plant diseases have turned into a big problem as it can cause significant reduction in both quality and quantity of agricultural products. However, the cultivation of essential crops for optimum yield and quality can be improved by the aid of technological support. Automatic detection of plant diseases is an important research topic as it may prove benefits in monitoring large fields of crops, and thus automatically detect the diseases from the symptoms that appear on the various parts of plant. This paper presents a survey on automated detection of various diseases associated with crops and also given a proposed methodology for computing amount of diseases in various crops.

Key-Words / Index Term
crop disease, preprocessing, segmentation, classification

How to cite this article
Shravankumar Arjunagi*, Dr. Nagaraj.B.Patil**, Sharanbasappa Honnashetty , “A Survey on Detection and Computing the Amount of Plant Diseases using Image Processing”, Journal for Advance Research in Applied Sciences, 4, Issue-7, pp.292-299, Dec 2017. DPI:16.10089.JARAS.V4.I7.2251