The purpose of this research is to apply an artificial intelligence (AI) technology to manage the operation of a farm robot. AI technology can also help farmers analyze environmental conditions, such as weather, and diseases in rice. The researchers have designed a robot for the farming of rice and its control system based on AI. The robot can move automatically in accordance with the data collected. The organization of the robot with AI consists of the following: (1) a subsystem to control movement, (2) a sensor control subsystem, and (3) an analysis subsystem. The sensors monitor environmental and weather conditions, including temperature, humidity, and water level, and transmit images. The AI robot is designed to operate at four positions as required. When the AI robot operates at position 1, the sensors store data after a successful operation, then the robot changes to positions 2, 3, and 4, in sequence progressively. Accordingly, the robot analyzes the collected data and judges the priorities from the data in order to move to the corresponding position. While the robot moves to the correct location, the installed camera scans rice fields to compare images and analyzes the surfaces of rice plants for diseases. When the images captured by the camera indicate a disease, the robot automatically sprays a chemical and a message is sent to inform the farmers. To complete the above operation, power consumption is an important issue, which is discussed in depth in this article.