ISSN 0914-4935
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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S&M1898 Research Paper of Special Issue

Applying AI Technology to the Operation of Smart Farm Robot

Joy Iong-Zong Chen and Pisith Hengjinda

(Received May 8, 2018; Accepted April 23, 2019)

Keywords: artificial intelligence (AI), farm, robot, environmental conditions

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 collected data. 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 the environment and weather including the 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.

Corresponding author: Pisith Hengjinda




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