This thesis aims to leverage the Raspberry Pi platform to design and implement a remote-controlled (RC) robot for soil quality assessment. The robot measures key soil parameters such as moisture, pH, salinity, temperature, humidity, and nutrient levels (Nitrogen, Phosphorus, and Potassium). It integrates robotics, sensor technology, and remote communication to provide farmers with an affordable precision agriculture tool. The robot features a robust mechanical platform powered by four DC geared motors for navigation and a stepper motor for precise soil sensor placement. The Raspberry Pi serves as the central processor, collecting sensor data, controlling motors, and streaming real-time video and soil data to a webpage accessible via Wi-Fi or a mobile hotspot. Designed in Autodesk Inventor and fabricated with PLA material using a CraftBot+ 3D printer, the robot promotes sustainable agriculture by minimizing manual labor and optimizing available resources.