Event Dime

Deep Learning Based Monitoring of Forest Dynamics and Degradation in Agroforestry Landscapes of Ethiopia:A Systematic Review. [version 1; peer review: awaiting peer review]

Family & Kids
When:
May 21, 2026 ยท 7:36 AM
Source:
F1000Research

Agroforestry landscapes in Ethiopia are undergoing rapid transformation driven by agricultural expansion, biomass extraction, and climate variability. Conventional monitoring approaches remain inadequate for capturing fine-scale forest dynamics in heterogeneous smallholder systems. This systematic review applies the PRISMA 2020 framework to evaluate the application of deep learning in monitoring forest dynamics and degradation in Ethiopian agroforestry landscapes. A comprehensive search across S

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