A Survey on Computer Vision for Plant Leaf Diseases

B. S. Lokesh*, C. Anjanappa**, C. Naga Raju***
*-*** Assistant Professor, Department of Electronics Communication Engineering, National Institute of Engineering, Mysuru, India.
Periodicity:April - June'2017
DOI : https://doi.org/10.26634/jip.4.2.13751


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.


Agriculture, Automation, Computer Vision, Farmers, Plant Disease

How to Cite this Article?

Lokesh, B.S. Anjanappa C. and Nagaraju C. (2017). A Survey on Computer Vision For Plant Leaf Diseases. i-manager’s Journal on Image Processing, 4(2), 29-33. https://doi.org/10.26634/jip.4.2.13751


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