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Advance computing enrichment evaluation of cotton leaf spot disease detection using Image Edge detection | IEEE Conference Publication | IEEE Xplore

Advance computing enrichment evaluation of cotton leaf spot disease detection using Image Edge detection


Abstract:

Proposed Research work exposes, a advance computing technology has been developed to help the farmer to take superior decision about many aspects of crop developed proces...Show More

Abstract:

Proposed Research work exposes, a advance computing technology has been developed to help the farmer to take superior decision about many aspects of crop developed process. Suitable evaluation and diagnosis of crop disease in the field is very critical for the increased production. Foliar is the major important fungal disease of cotton and occurs in all growing Indian cotton regions. In this work we express Technological Strategies using mobile captured symptoms of Cotton Leaf Spot images and categorize the diseases using neural network. The classifier is being trained to achieve intelligent farming, including early detection of disease in the groves, selective fungicide application, etc. This proposed work is based on Image Edge detection Segmentation techniques in which, the captured images are processed for enrichment first. Then R, G, B color Feature image segmentation is carried out to get target regions (disease spots). Later, image features such as boundary, shape, color and texture are extracted for the disease spots to recognize diseases and control the pest recommendation.
Date of Conference: 26-28 July 2012
Date Added to IEEE Xplore: 31 December 2012
Conference Location: Coimbatore, India

I. Introduction

India is an agricultural country; wherein about seventy percentage of the population depends on agriculture. Farmers have wide range of diversity to select suitable Fruit and Vegetable crops. However, the cultivation of these crops for optimum yield and quality product is highly technical. It can be improved with the aid of technological support. The management of perennial fruit crops requires close monitoring especially for the management of diseases that can affect production significantly and subsequently the post-harvest life. Cotton, “The White Gold” or the “emperor of Fibers” enjoys a pre-eminent status among all cash crops in the country and is the principal raw material for flourishing textile industry. It provides livelihood to about sixty million people and is an important agricultural commodity providing remunerative income to millions of farmers both in developed and developing countries. In India, in spite of severe competition from synthetic fibers it is occupying the premier position with a seventy per cent share in the textile industry.

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