Paper Title
Ai Based Agribot for Plant Disease Detection and Pesticide Spraying (Multipurpose)

Abstract
This paper presents an autonomous, AI-driven agricultural robot (“Agribot”) designed to automate multiple farm operations. The Agribot integrates computer vision and machine learning techniques to perform real-time plant disease and pest identification, triggering a targeted pesticide-spraying mechanism that minimizes chemical use and environmental impact. In addition, it monitors soil moisture and automatically irrigates when needed to maintain optimal growing conditions. The system is built around an Arduino Uno microcontroller with motor drivers, relays, and wireless communication modules. It can operate autonomously following pre-programmed logic or be controlled remotely via a smartphone interface for real-time monitoring. The modular design emphasizes energy efficiency, scalability, and ease of use, making it a cost-effective solution for small to medium-sized farms. By automating key tasks—disease detection, precision spraying, soil sensing, irrigation, and navigation—the Agribot aims to enhance crop yields, lower labor requirements, and contribute to sustainable precision agriculture. Keywords - Agricultural robot, IoT, computer vision, plant disease detection, autonomous farming, sensor integration.