2021 Focus:
Ranch waste contains liquid and solid trash. If the garbage can be treated to environment-friendly products in the original ranch, the procedures can drastically reduce pollution and save energy. A water-quality detecting system, including the monitor of pH, dissolved oxygen, conductivity, and suspended solids, is helpful to establish an intelligent liquid-waste treatment system. The project aims to develop a solar energy-based self-powered wastewater-quality discharge monitoring system, a small Lidar system capable of monitoring livestock behavior, and a real-time IoT monitoring system integrating sensor nodes and gateways. The required techniques include a wastewater conductivity-sensing device, a wastewater suspended solid-sensing device, a low-power Lidar system monitoring livestock behavior, a double fence dye-sensitized solar cells of high power generation efficiency, and a self-powered IoT system for monitoring water quality and estimating livestock behavior for the development of sustainable agriculture.
2022 Focus:
1.Integrating the remote auto-calibrated sensing device with wireless functions for wastewater quality detection could build an intelligent alarm system.
2.Developing a sensing system for long-term monitoring wastewater suspended solid concentration and an auto-calibrated artificial intelligence (AI) model.
3.Build the solar energy system to supply the micro-LiDAR for the animals monitoring in the farms and the pastures. The animal behavior trajectory is fully captured by LiDAR three-dimensionally in time. After recording, the animals’ behavior is recognized by an AI model to assist in judging the physiological state of the animal.
4.optimize the core application (e.g., testing the behaviors and energy efficiency of the sensor nodes and the network operations), build a cloud database, use AI methods to establish an anomaly monitoring model and implement abnormal warning system applications, and build a robot platform with AI methods to develop a tracking control model in irregular tracking system applications.
5.Develop efficient porphyrin dyes and electrokinetic transport materials, simplify the fabrication for massive production, and apply the auxiliary charging board for the requirement of water quality detecting devices.
Ranch waste contains liquid and solid trash. If the garbage can be treated to environment-friendly products in the original ranch, the procedures can drastically reduce pollution and save energy. A water-quality detecting system, including the monitor of pH, dissolved oxygen, conductivity, and suspended solids, is helpful to establish an intelligent liquid-waste treatment system. The project aims to develop a solar energy-based self-powered wastewater-quality discharge monitoring system, a small Lidar system capable of monitoring livestock behavior, and a real-time IoT monitoring system integrating sensor nodes and gateways. The required techniques include a wastewater conductivity-sensing device, a wastewater suspended solid-sensing device, a low-power Lidar system monitoring livestock behavior, a double fence dye-sensitized solar cells of high power generation efficiency, and a self-powered IoT system for monitoring water quality and estimating livestock behavior for the development of sustainable agriculture.
2022 Focus:
1.Integrating the remote auto-calibrated sensing device with wireless functions for wastewater quality detection could build an intelligent alarm system.
2.Developing a sensing system for long-term monitoring wastewater suspended solid concentration and an auto-calibrated artificial intelligence (AI) model.
3.Build the solar energy system to supply the micro-LiDAR for the animals monitoring in the farms and the pastures. The animal behavior trajectory is fully captured by LiDAR three-dimensionally in time. After recording, the animals’ behavior is recognized by an AI model to assist in judging the physiological state of the animal.
4.optimize the core application (e.g., testing the behaviors and energy efficiency of the sensor nodes and the network operations), build a cloud database, use AI methods to establish an anomaly monitoring model and implement abnormal warning system applications, and build a robot platform with AI methods to develop a tracking control model in irregular tracking system applications.
5.Develop efficient porphyrin dyes and electrokinetic transport materials, simplify the fabrication for massive production, and apply the auxiliary charging board for the requirement of water quality detecting devices.
