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Identification and counting of pests using extended region grow algorithm

Agriculture plays most important role in the Indian economy. The agriculture sector of India has covered about 43percent of India’s land area. 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 the proposed work, an integrated pest management using image processing algorithm using 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.