most citedCrop Height and Plot Estimation for Phenotyping from Unmanned Aerial Vehicles using 3D LiDAR

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025

Few-Shot Adaptation of Grounding DINO for Agricultural Domain

Rajhans Singh, Rafael Bidese Puhl, Kshitiz Dhakal +1

Deep learning models are transforming agricultural applications by enabling automated phenotyping, monitoring, and yield estimation. However, their effectiveness heavily depends on…

cs.RO2019★ 1 cited

Crop Height and Plot Estimation for Phenotyping from Unmanned Aerial Vehicles using 3D LiDAR

Harnaik Dhami, Kevin Yu, Tianshu Xu +5

We present techniques to measure crop heights using a 3D Light Detection and Ranging (LiDAR) sensor mounted on an Unmanned Aerial Vehicle (UAV). Knowing the height of plants is cru…