A System for Precision Agriculture That Uses Robotics and Image Processing to Automate Planting Seeds and Finding Diseases.

Precision agriculture is changing the face of contemporary farming with its intelligent decision-making and automation systems that boost productivity and longevity. An Automated Precision Agriculture Robot, built using an Arduino for physical operations and a Raspberry Pi for image processing and communication, is shown in this study. In pomegranate crops, the system can identify diseases, water the plants, and sow the seeds all on its own. With the help of an infrared sensor and a servo motor, you can scatter seeds precisely. After planting, water is supplied via a DC water pump that is controlled by a relay. By integrating with the Raspberry Pi, the camera module records cropped photos in real-time, allowing enabling illness identification through image processing. Improving real-time decision-making and farm efficiency, farmers may track the robot’s movements and get updates using a mobile app. By limiting crop loss, optimizing seed distribution, and eliminating human work, the suggested approach enhances agricultural efficiency. Accurate field condition monitoring is made possible by integrating IoT-based connectivity with AI- powered analysis. This study shows how automation, by integrating robotics, computer vision, and real-time communication, may solve problems in contemporary farming. Smart farming is progressing thanks to the Automated Precision Agriculture Robot, which provides an affordable and scalable way to manage crops in the long run.