Creating a self-governing farming bot for detecting plant health using the Raspberry Pi 4 Model B aims to enhance agricultural productivity through automated disease recognition. The bot is equipped with BO motors for movement and a Raspberry Pi Camera Module to capture live images of plants. These images are analysed using a pre-existing image processing model to classify plant health as healthy or diseased. Upon detecting a diseased plant, the bot promptly sends a notification to the farmer via Telegram, including the plant's image for timely intervention. During testing, the system demonstrated an accuracy of 100% in disease detection, effectively categorizing plant health. However, environmental factors such as lighting conditions influenced image quality, highlighting areas for future improvement. This project presents a cost-efficient and scalable solution for modern agriculture, supporting early disease prevention through real-time notifications.