Abstract

India, as a profuse agricultural country, needs advancement in the process of farming through technology. For that, we propose a technology called Wicked Moth Ousting Technology (WMOT). WMOT in Precision Farming using supervised Machine Learning (ML) can be an infallible solution for modern and sustainable agriculture. This paper proposed a well-trained, tested, and predicted model that will decrease the use of pesticides using a supervised ML algorithm and photographic phenomena. WMOT uses the photogrammetric method to create orthophotos. By checking the photographs using a supervised ML algorithm Support Vector Machine (SVM), the proposed model will identify the infected plants and the automated nozzles will open only for that plant to spray from the unmanned air vehicle. This proposed way of farming will be economically beneficial and the use of fewer chemicals is also advantageous for human health and the ecosystem. It is a proposed work based on the prevention, of the attack of yellow stem borer (Scirpophaga incertulas) on the eastern part of Bardhaman district of West Bengal state, using pesticides precisely through the mentioned ML algorithm.