Tiny-ML Possibilities for the implementation of Keyemaba: Pest Detection and Prevention using Unmanned Aerial Vehicle on Farmland.

Detection of asphalt roads degradation using Deep Learning applied to Unmanned Aerial Vehicle imagery

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

The effects of planting date on maize growth and development using unmanned aerial vehicle data

Early detection of plant stress is important, particularly in the face of unpredictable climates. Co

Semantic Segmentation of Rice Field Bund on Unmanned Aerial Vehicle Image using UNet

Crop Field Classification using Data Fusion of Unmanned Aerial Vehicle (UAV) and Sentinel 2A satellite: the case of Oda Dhawata Kebele Cluster farmland, Oromia Region, Ethiopia

Abstract Accurate crop classification using remote sensing based satellite imageries appro

Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco

This article presents an environmental remote sensing application using a UAV that is specifically a

Unmanned aerial vehicle for the assessment of woody and herbaceous phytomass in Sahelian savanna

International audience The phytomass of herbaceous and woody plants is the main sourc