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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 4, APRIL 2016

Intelligent Autonomous Farming Robot with Plant Disease Detection using Image Processing

D. A. Shaikh, Ghorale Akshay G., Chaudhari Prashant A., Kale Parmeshwar L.

DOI: 10.17148/IJARCCE.2016.54248

Abstract: Even though India is agricultural country lot of challenges are faced by farmer. Every year farmer experiences large losses due to pest infestation in crop & this in turn affect his lifestyle. These losses are basically due to discontinuous monitoring of farm, various diseases on crop and improper management of pesticides. Plant disease reduces product of farmer both in quality and quantity. So quick detection and identification of disease plant are of more importance. It also needs continuous monitoring of farm. To overcome above problem it is necessary to develop such system which continuously monitor the farm and detect the disease as quick as possible. In this paper we gave brief idea to solve this problem by continuously monitoring crops using �Agri-Robo� and techniques called Image Processing. Image Processing give the good solution to above crisis. Image processing gives fast, automatic and accurate solution to user. We developed an agri-robo system to monitor crops and for identifications and monitoring of diseases & pesticides. This agri-robo not only detects disease but also spray pesticides to protect them from disease. The robot helps the farmer to take informed decision locally or allows connecting with other existing services. This agri-robo find diseases on various infected leafs. This system result in detection of cotton diseases and spray the pesticides of disease in proper amount when needed.



Keywords: Agri-robo, image processing for disease detection, pesticides spraying techniques.

How to Cite:

[1] D. A. Shaikh, Ghorale Akshay G., Chaudhari Prashant A., Kale Parmeshwar L., “Intelligent Autonomous Farming Robot with Plant Disease Detection using Image Processing,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.54248