ABSTRACT

Animal damage is a significant issue for farmers, who have already lost many of their crops to pests and diseases. Specific animals frequently seen in agriculture, such as monkeys, contribute to crop destruction by consuming the majority of the vegetables and fruits planted. This paper aims to detect the monkey using machine learning and alert the farmer when they enter the agriculture field. To prevent the entry of the monkeys into the agriculture field, This System also plays shrill noise, which monkeys hate. A camera module is used to capture the presence of monkeys in the field, and using machine learning, monkeys are detected. An accuracy of 84% is achieved for the proposed model with individual monkey images, and the monkeys are detected with a reasonable confidence score. The model is connected to the Blynk cloud, which enables to notify farmers of the presence of monkeys and take necessary action. Keywords: Agricultural land, Animal attacks, Internet of things, Deep Learning
Publication date: 01/08/2022

https://ijbpas.com/pdf/2022/August/MS_IJBPAS_2022_6298.pdf

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https://doi.org/10.31032/IJBPAS/2022/11.8.6298