Relevant papers and journal articles about ML and forests

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May 19, 2022 10:30 PM

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Onishi & Ise (2021) Explainable identifcation and mapping of trees using UAV RGB image and deep learning

Diez et al. (2021) Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review

Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review

Forests are the planet's main CO2 filtering agent as well as important economical, environmental and social assets. Climate change is exerting an increased stress, resulting in a need for improved research methodologies to study their health, composition or evolution.

Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review

https://www.mdpi.com/2072-4292/13/14/2837/htm

Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review

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