研究計畫
2023/8-2024/7: Parameterizing signals of trees for AI technique development: Climate change assessment for sustainable forest management and natural disaster mitigation. Funded by National Science and Technology Council, Taiwan. (PI)
2023/1-2023/12: Annual promotion plan for thw 2023 quality management of NCYU University Experimental Forest, sponsored by Forestry Bureau, Taiwan. (PI)
2022/8-2025/7: Development of a hybrid deep learning algorithm for exploring forest degradation-caused carbon loss and regain using high resolution data and ICESat-2 photon lidar data. Funded by National Science and Technology Council, Taiwan. (PI)
2022/8-2023/7: Improving cost-benefit in generating plantation thinning scenarios through lidar-based forest inventory techniques. Sponsored by Nantou District Office, Forestry Bureau, Taiwan. (PI)
2022/1-2022/12: Annual promotion plan forthe 2022 quality management of NCYU University Experimental Forest, sponsored by Forestry Bureau, Taiwan. (PI)
2022/8-2024/7: UAV-based multispectral imaging and deep learning techniques for crop damage detection. Funded by National Science and Technology Council (the former MOST), Taiwan. (Co-PI)
2021/8-2023/7: Technique Development for Deriving Structure Parameters of Forest Stands using Terrestrial-Airborne-Spaceborne Lidar Systems (II). Funded by Ministry of Science and Technology (the MOST), Taiwan. (PI)
2021/1-2021/12: Annual promotion plan for the 2021 quality management of NCYU University Experimental Forest, sponsored by Forestry Bureau, Taiwan. (PI)
2020/8-2021/7: Technique Development for Deriving Structure Parameters of Forest Stands using Terrestrial-Airborne-Spaceborne Lidar Systems (I). Funded by Ministry of Science and Technology (the MOST), Taiwan. (PI)
2020/8-2022/7: Hyperspectral imaging and deep learning techniques for plant species classification. Funded by Ministry of Science and Technology (the MOST), Taiwan. (Co-PI)
2020/8-2023/7: Applying hyperspectral imaging techniques to develop smart agriculture - Improving agricultural product quality management as the example. Funded by Ministry of Science and Technology (the MOST), Taiwan. (Co-PI)
2020/1-2022/12: Evaluation of Chilli Thrips Damage on Cash Crops and Control Strategy Development Using UAV Remote Sensing Technology. Sponsored by Council of Agriculture, Taiwan. (PI)
2020/1-2020/12: Annual promotion plan for the 2020 quality management of NCYU University Experimental Forest, sponsored by Forestry Bureau, Taiwan. (PI)