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

Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques

Accurate livestock counts are essential for effective pastureland management. High spatial resolutio

High-Precision LULC Classification of a Rural Area in Malawi Considering Building Characteristics Using Unmanned Aerial Vehicle Imagery

A High-Throughput Model-Assisted Method for Phenotyping Maize Green Leaf Area Index Dynamics Using Unmanned Aerial Vehicle Imagery

International audience The dynamics of the Green Leaf Area Index (GLAI) is of great i

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

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

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

Automated rhinoceros detection in satellite imagery using deep learning

Rhinoceroses face severe threats from poaching, habitat fragmentation, and ongoing habitat degradati