Integrated Pest Management Using Image Processing

Project Abstract / Summary : Agriculture plays most important role in the Indian economy. The agriculture sector of India has covered about 43percent of India's land area. Now the major problem in agriculture is applying the amount of pesticide to the crop. Farmers are not aware of use of pesticide and hence there occurs extensive damage to crops. To address this problem we blend the IT with agriculture for a innovative solution. Digital image processing is the use of computer algorithms like histogram, segmentation, edge detection, fuzzy approach, region based growing and tracking to perform analysis on digital images. In the existing system it is seen that there is a requirement for manual detection and extraction of pest in agricultural field which is not more efficient and accurate. In our proposed work we have an integrated pest management using image processing algorithm of extended region based growing to identify the pest and have the counting of the pest to predict the pesticide amount to be used. This extended region grow algorithm provides best identification and counting of the pest.

Why did you choose to work on this project topic : The problem of pest in agriculture is still undefined as it causes great damage to the crops and also reducing the yield production and revenue . So we worked to blend the Information Technology with Agriculture ,Hence this topic was chosen.

Project Category : CS / IT / Networking
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Institute/College Name: Sri Manakula Vinayagar Engineering College
City: Pondicherry
State: Pondicherry
Participating Team From: Final Year