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Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision

Informally Refereed
Download (PDF 443 KB): https://research.fs.usda.gov/download/treesearch/67807.pdf

Citation

Luo, Feng ; Liu, Ling; Wang, G. Geoff; Kumar, Vijay; Ashton, Mark S; Abernethy, Jacob; Afghah, Fatemeh; Browning, Matthew H E M; Coyle, David; Dames, Philip; O’Halloran, Tom; Hays, James; Heisl, Patrick; Jiang, Chenfanfu; Khanal, Puskar; Krovi, Venkat Narayan; Kuebbing, Sara; Li, Nianyi; Liang, JingJing; Liu, Ninghao; McNulty, Steve; Oswalt, Christopher M; Pederson, Neil; Terzopoulos, Demetri; Woodall, Christopher W; Wu, Yongkai; Yang, Jian; Yang, Yin; Zhao, Liang. 2024. Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision. 2023 IEEE 5th International Conference on Cognitive Machine Intelligence (CogMI). Atlanta, GA, 1-10
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