Development of Agricultural Drone for Pest and Weed Detection

Abstract

The goal of this project is to create a system that can identify weeds and pests in agricultural fields by integrating it with a drone’s camera using Raspberry Pi. The setup entails utilizing the camera to take footage of the farm and these videos are used as the input for our system, which are subsequently processed for detection using an algorithm installed on the Raspberry Pi. The user receives the identified findings for review and possible action. The setup of the hardware setup, software installation, data collection process, detection methodology, user interface details, testing procedures, challenges faced, potential improvements, and a conclusion outlining the main points of the project are all covered in the documentation. By automating the identification of weeds and pests, this creative solution seeks to improve agricultural practices and provides farmers with an economical and effective way to monitor and manage their crops.