An intelligent multi-wavelength lighting system was developed and the wavelength and brightness of the lighting system can be adjusted for clinical use by physicians. It is also equipped with several functions such as reminder of lighting, parameter records of use time, lighting brightness and wavelengths. The systems could help the patients adjust the physiological parameters based on the deployment of lighting system. The using lighting parameters would upload to the data base in cloud, and which can compare with the psychological evaluation parameters for treatment physical impact analysis in hospital. With the lighting system, the problem such as poor sleep quality can be greatly improved, and the occurrence probability of mild cognitive impairment and dementia can be deferred.

The Air/Ground cooperation for optimal rice harvesting model is established to provide a visual harvesting decision service on a cloud platform. Drones and mobile devices are employing to estimate grain moisture and forecast the variation of harvest moisture content (HMC) in the coming days by huge amounts of imagery data, deep learning algorithms, and weather forecasts. This model can benefit in several aspects, such as setting an accurate and comprehensive optimal harvest schedule, reducing the cost of agricultural apparatus and barn ovens, ensuring the rice quality, and maximizing farmers' benefits. The potential value of the model practice could be more than a billion in Taiwan.

The core technology includes lightweight UAV, heterogeneous sensor integration, obstacle avoidance, group flight automatic flight control, RTK precision positioning systemfruit tree 3D stereo modeling technology. The UAV can be used for 3D scanningspectral information collection. The information can use for fruit tree growth monitoring, nutrient analysis,fruit quality monitoring.