Detection and Controlling of Grape Leaf Diseases using Image Processing and Embedded System

International Journal of Electrical and Electronics Engineering

© 2015 by SSRG - IJEEE Journal

Volume 2 Issue 10

Year of Publication : 2015

Authors : Neeraj Bhaskar Wadekar, Prashant Kailash Sharma, Nilesh Sanjay Sapkale

10.14445/23488379/IJEEE-V2I10P103

How to Cite?

Neeraj Bhaskar Wadekar, Prashant Kailash Sharma, Nilesh Sanjay Sapkale, "Detection and Controlling of Grape Leaf Diseases using Image Processing and Embedded System," SSRG International Journal of Electrical and Electronics Engineering, vol. 2,  no. 10, pp. 13-15, 2015. Crossref, https://doi.org/10.14445/23488379/IJEEE-V2I10P103

Abstract:

Grape farming in India faces a serious threat from leaf diseases. The major diseases include downy mildew, powdery mildew and anthracnose, which causes every year an enormous economic losses to grape sector. Its effect will diminish the quantity & quality of Grape fruit, as it reduces the Photosynthesis process. To effectively grow a grape plant and increase its productivity, it is important to monitor the plant during its growth period till harvesting. The use of appropriate pesticide in right dose at right time holds the key for effective disease management. The system uses image processing as a tool to monitor three diseases of grape plant i.e. downy mildew, powdery mildew and anthracnose. Hence to manage these diseases, it is important to control it before it is completely developed, so as soon as the disease is detected the respective pesticide is sprayed automatically on infected leaves, which is implemented using ARM7 embedded systems .The resulting agricultural automation system will help & reduce the rigorous efforts taken by farmer to consistently monitor and manage the different grape leaf diseases.

Keywords:

Image Processing, ARM 7, embedded system, Pesticide Spraying, Downey mildew, Powdery mildew, Anthracnose, humidity sensor, temperature sensor.

References:

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