UAS Quality Control and Crop Three-Dimensional Characterization Framework Using Multi-Temporal LiDAR Data

UAS Quality Control and Crop Three-Dimensional Characterization Framework Using Multi-Temporal LiDAR Data

Information on a crop’s three-dimensional (3D) structure is important for plant phenotyping and precision agriculture (PA). Currently, light detection and ranging (LiDAR) has been proven to be the most effective tool for crop 3D characterization in constrained, e.g., indoor environments, using terre...

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Bibliografske podrobnosti
Main Authors: Nadeem Fareed, Anup Kumar Das, Joao Paulo Flores, Jitin Jose Mathew, Taofeek Mukaila, Izaya Numata, Ubaid Ur Rehman Janjua
Format: Article
Jezik:English
Izdano: MDPI AG 2024-02-01
Serija:Remote Sensing
Teme:
UAS
LiDAR
canopy height modeling
simulated waveform
phenology
Online dostop:https://www.mdpi.com/2072-4292/16/4/699

Internet

https://www.mdpi.com/2072-4292/16/4/699

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