Current projects

2024/8-2027/7: Combining human expertise and generative artificial intelligence techniques for sustainable forest management and environmental change assessment. Funded by National Science and Technology Council, Taiwan. (PI)

2024/05-2025/10: Bamboo forest inventory and yield planning for sustainable management in the Qishan National Bamboo Forest Areas. Funded by Pingtung Branch, Forestry and Natural Conservation Agency, Ministry of Agriculture, Taiwan. (PI) 

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)