AI based pest detection and alert system for farmers using IoT

Abstract

Agriculture plays an important role in economy and it is the backbone of the economic system for developing countries. India is one of the key players in agricultural precinct worldwide. Although there are many sophisticated technologies in the field of agriculture, still there is no proper technology to control the problems related to pests. Disinclination to pesticides for controlling agricultural pests is a worldwide problem. To overcome this particular problem, an AI based pest detection model is designed. The purpose of this model is to further illustrate, through classification using an artificial neural network, the effectiveness of acoustic approaches in pest detection. Numerous types of research have demonstrated the viability of acoustic technologies for insect detection and monitoring using different sound parameterization and classification methods. IR sensors and sound sensor are employed to identify the presence of insects. Deep learning technique is used to analyse and categorize the audio signal with the help of AI model to detect the type of pest. This model not only aims on detecting the pest but also alerting the farmers by notifying through their mobile phones with the help of Wi-Fi module and IoT.