“FAIT 2.0” - Design And Implementation Of A Robot For Plant Disease Detection, Animal Trespassing Detection And Locust Prevention

Abstract

Most robots are designed for a single task. However, the FAIT 2.0 is a multipurpose robot that is designed for plant disease detection, animal trespassing detection, and locust prevention. The FAIT 2.0 uses sensors and software to detect plant diseases, animals, and locusts. The information is then relayed to a human operator who can take action to prevent the spread of disease or damage. The FAIT 2.0 is designed to be used in agricultural areas but can be adapted for other environments. FAIT 2.0 is an example of how robots can be used for multiple purposes, and how they can help humans in their work. The robot is equipped with a thermal camera and a visible light camera. It also has a GPS receiver and a laser rangefinder. The robot can be operated remotely using a smartphone or a tablet. The farmers can use the app to select the areas of their fields that they want to monitor. The app will also allow the farmers to view the images taken by the robot and to receive alerts if any plant disease, animal trespassing, or locust infestation is detected. The data collected by the sensors and cameras are processed by a deep learning algorithm to determine the type of disease, animal, or locust. The agricultural robot is designed to be affordable and easy to use. “FAIT 2.0” has the potential to revolutionize the agricultural industry by providing a cost-effective and efficient solution for plant disease detection, animal trespassing detection, and locust prevention.

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