◎ Protected horticulture
The research develops novel intelligent control techniques for crop production, encompassing cloud system design, human-machine interface (HMI) app development, plant growth chamber design, an AI-based hydroponics system, and LED lighting for plant growth, all aimed at achieving intelligent and standardized cultivation.
◎ Intelligent agricultural robot
This research is based on the principles of mechanism design and supported by embedded controller applications. These two techniques are employed to develop a mechanism that mimics specific capabilities in mechatronics and hardware design.
◎ Autonomous navigation and sensor fusion
This research focuses on circuit design, supplemented by programming languages. A multi-sensor fusion system is designed and applied to agricultural mobile robot guidance, intelligent control, and the Internet of Things (IoT). The system integrates adaptive signal processing and control algorithms to facilitate environmental monitoring and data mining, both indoors and outdoors. Additionally, it incorporates MEMS-based navigation, an inertial measurement unit, laser scanning, servo vision, and an embedded system to develop an intelligent environmental monitoring and control system for agricultural and horticultural applications.
