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Design Farming Robot for Weed Detection and Herbicides Applications Using Image Processing

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Abstract

The emerging era of image processing has spread its wings in human life to the extent that image has become an integral part of their life. There are various applications of image processing in the field of e-commerce, engineering, graphics design, journalism, architecture, and historical research. In this research work, image processing is considered for the detection of weed present in chilli farm. The proposed system is an innovative method to detect and spray the herbicides on weeds present in the farm field. Weed present in the area reduces the quantity and quality of the crops and reduces the profit of the farmers. Agriculture is the main income source in India, and nearly 70% of Indians are dependent on the agriculture and related industry. In India, 349 million acres of the area is under cultivation. India is the top seventh net exporting nation across the globe in agricultural goods; thus agriculture plays a key role in Indian Economics. Agriculture is a backbone of human life. We have implemented image processing based technique using MATLAB to detect the weed areas in an image of farm fields.

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Bhong, V.S., Waghmare, D.L., Jadhav, A.A., Bahadure, N.B., Bhaldar, H.K., Vibhute, A.S. (2020). Design Farming Robot for Weed Detection and Herbicides Applications Using Image Processing. In: Pawar, P., Ronge, B., Balasubramaniam, R., Vibhute, A., Apte, S. (eds) Techno-Societal 2018 . Springer, Cham. https://doi.org/10.1007/978-3-030-16848-3_38

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