Published Paper Details:

Agriculture faces few challenges, especially since there are many tasks that require great physical effort. Inefficiencies ultimately lead to more expenditure, wastage of resources, and decreased productivity. While India is among the highest agricultural producers, it consumes far more than it produces. This gap highlights the need for some creative and effective farming techniques. To address these problems, AgriBot is developed as a virtual robotic system. It automates three important farming tasks: seeding, irrigation, and weed control. The design basis of AgriBot is the combination of ROS2 (Robot Operating System 2) with simulation using Gazebo. The seed planting module automates the sowing procedure. The irrigation system uses soil moisture sensors to irrigate the crops only when needed to minimize wastage. The weed detection module utilizes a Random Forest algorithm to detect weeds and is removed by a laser-burn-based system. AgriBot reduces the amount of manual labor, conserves resources, and increases the efficacy of farming. Simulation tools such as Gazebo allow for the testing and refinement of a system before it is deployed in the real world. This project aims to make farming modern, efficient, cost-effective, and environmentally sustainable.