jip.4.2.13751 A Survey on Computer Vision for Plant Leaf Diseases B.S. Lokesh C. Anjanappa C. Naga Raju Journal on Image Processing 2349-6827 4 2 29 33 10.26634/jip.4.2.13751 Agriculture, Automation, Computer Vision, Farmers, Plant Disease The farmers are confronted with new difficulties consistently. The sufficient usage of water, disease associated with crops; trespassing, etc, are majorly faced problems by farmers in the current world. Total 7.68% of Global Gross Domestic Product (GDP) is accounting from agriculture. Computers have been utilized to motorization and computerization and to build up a choice emotionally supportive network for taking key choices on the agrarian generation and insurance look into. It is vital to design an intelligent computer vision algorithm to minimize the risks in farming. As plant disease estimation and growth is still carried out due to the visual nature of the plant monitoring task, computer vision techniques seems to be well adapted. Early identification of disease in plants helps in avoiding pests and to take countermeasures. Diseases are analyzed by different digital image processing techniques April - June 2017 Copyright © 2017 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=13751