Usage of Nvidia Jetson Nano in Agriculture as an Example of Plant Leaves Illness Real-Time Detection and Classification

Abstract

Early prediction of plant illnesses can reduce the spread of the disease through efficient resource management and treatment planning. The goal of this article is to integrate the Jetson nanomachine with software based on a pre-trained CNN machine learning model which has been trained via healthy and diseased plant image data. The created video server uses the RTSP protocol to send video data to the Detection Engine. Detected diseases of the host are sent through the SMTP
server at an adjustable frequency to the emails of the users. The developed system can be widely used in agriculture, making the fight against plant diseases more profitable and effective.