Early detection of plant stress is important, particularly in the face of unpredictable climates. Co
Rice farming in Nigeria suffers significant losses due to bird damage, necessitating advanced mitiga
Detection of asphalt roads degradation using Deep Learning applied to Unmanned Aerial Vehicle imagery Poster presented at the Deep Learning Indaba 2023 by Adama COULIBALY
Tiny-ML Possibilities for the implementation of Keyemaba: Pest Detection and Prevention using Unmanned Aerial Vehicle on Farmland. Poster presented at the Deep Learning Indaba 2022 by Segun Adebayo
This article presents an environmental remote sensing application using a UAV that is specifically a
This dataset was collected by an Unmanned Aerial Vehicle in Hermitage, Réunion - 2023-12-07.