Integrated unmanned aerial vehicle-based LiDAR and RGB data for individual cattle growth monitoring in precision livestock farming.

ABSTRACT: Monitoring cattle growth on an individual level is essential in precision livestock farming. Our study utilises an Unmanned Aerial Vehicle (UAV)-based Light Detection and Ranging (LiDAR) system to monitor the growth of 96 semi-free-range beef cattle. We conducted drone campaigns with varying flight speeds and heights under different environmental conditions. The resulting point clouds were processed to segment individual cattle with both standing and lying postures. Concurrently, UAV-based RGB data underwent instance segmentation, categorising cattle images at an individual level. In addition, ground-based cameras recorded the cattle weighing process. Video frames were extracted, selected, segmented, and stored, providing diverse views of each animal. These individual point clouds were pro

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12307970 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature