IoAT(Internet of Agro Things) BASED AUTOMATIC PEST CONTROLDEVICE FOR SMART AGRICULTURE

Abstract

In Conventional Agriculture majority of the crops were infected by microbial diseases. Also, the constantly mutating pathogens cannot be known to the knowledge of the farmer, due to which, there arises a demand to develop a disease prediction system. This helpsin maintaining the crop’s health. This project introduces an innovative idea of the Internet-of-Agro-Things (IoAT) with an explanation of the automatic detection of plant disease and also provide infected crops with required amount of respective pesticides. To perform this, we use a trained Convolutional Neural Network (CNN) model to perform ananalysis of the crop image captured by a health maintenance system. The image capturing along with continuous monitoring is performed by an external power supply. The sensor node houses a developed soil moisture sensor which has a high longevity compared to its peers. Areal time implementation of the proposed system is demonstrated using an externally powered sensor nodewith a camera module, a microcontroller and an IOT module, using which an agricultural officer can monitor thefield in the IOT website dedicated for it. Along with it a setof motors are fixed for spraying the pesticide.