Precision Forest Restoration (PFR)
In the context of widespread restoration movements advocating for tree planting, scientists are developing precision forest restoration approaches (Castro et al. 2021) that combine emerging technologies with existing knowledges to increase the success rate of planted seedlings becoming adult trees. Drawing on techniques from smart agriculture, PFR approaches include the use of sensors, remote sensing , drones, and AI (machine and deep learning) combined with local knowledges in processes of species selection, site preparation, planting or direct seeding, promoting ecological interactions, and monitoring.