High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates.
about
A Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum.Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging.Land-based crop phenotyping by image analysis: Accurate estimation of canopy height distributions using stereo images.Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms.Comparative Aerial and Ground Based High Throughput Phenotyping for the Genetic Dissection of NDVI as a Proxy for Drought Adaptive Traits in Durum WheatHigh-Throughput Plant Phenotyping for Developing Novel Biostimulants: From Lab to Field or From Field to Lab?Detection and analysis of wheat spikes using Convolutional Neural Networks
P2860
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P2860
High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates.
description
2017 nî lūn-bûn
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name
High-Throughput Phenotyping of ...... es and Ground LiDAR Estimates.
@en
High-Throughput Phenotyping of ...... es and Ground LiDAR Estimates.
@nl
type
label
High-Throughput Phenotyping of ...... es and Ground LiDAR Estimates.
@en
High-Throughput Phenotyping of ...... es and Ground LiDAR Estimates.
@nl
prefLabel
High-Throughput Phenotyping of ...... es and Ground LiDAR Estimates.
@en
High-Throughput Phenotyping of ...... es and Ground LiDAR Estimates.
@nl
P2093
P2860
P356
P1476
High-Throughput Phenotyping of ...... es and Ground LiDAR Estimates.
@en
P2093
Alexis Comar
Benoît de Solan
Dan Dutartre
Fred Baret
Gallian Colombeau
Matthieu Hemmerlé
Samuel Thomas
Simon Madec
Stéphane Jezequel
P2860
P356
10.3389/FPLS.2017.02002
P577
2017-11-27T00:00:00Z