Artificial Intelligence and Machine Learning in Natural Resource Sciences
| Issue | Title | |
| Open Peer Review Preprints | Modelling silvicultural thinning using unsupervised machine learning: Evidence from Pterocarpus santalinus trial plots of Odisha, India | Abstract |
| Sanjay Saini, Swayam Mallick | ||
| Vol 18, No 1: MCFNS April 30, 2026 | Artificial Intelligence and Peer Review Capacity in Forestry: A Decade of Evolution and an Introduction to Proposed MCFNS Guidelines for AI-Assisted Review | Abstract PDF Guidelines_SP1.pdf |
| Aaron R. Weiskittel | ||
| Vol 18, No 1: MCFNS April 30, 2026 | Artificial Intelligence as a Research Instrument and an Editorial Burden: Scientific Judgment, Forestry Scientometrics, and Academic Incentives | Abstract PDF App.C.zip App.D.pdf App.E.pdf |
| Chris J. Cieszewski | ||
| 1 - 3 of 3 Items | ||
© 2008 Mathematical and Computational Forestry & Natural-Resource Sciences