Bridging the Gap Between Remote Sensing and Plant Phenotyping—Challenges and Opportunities for the Next Generation of Sustainable Agriculture

This article is based upon work from COST Action CA17134 Optical synergies for spatiotemporal SENsing of Scalable ECOphysiological traits (SENSECO), supported by COST. It was supported by European Plant Phenotyping Network (EPPN2020: Grant Agreement 731013), from EMPHASIS-PREP (Grant Agreement: 739514), from EOSC-Life (Grant Agreement: 824087). KB was funded within the EnMAP scientific preparation program (DLR Space and BMWi, Grant Number 50EE1923).

Saved in:
Bibliographic Details
Main Authors: Machwitz, Miriam, Pieruschka, Roland, Berger, Katja, Schlerf, Martin, Aasen, Helge, Fahrner, Sven, Jiménez-Berni, José A., Baret, Frédéric, Rascher, Uwe
Other Authors: European Cooperation in Science and Technology
Format: artículo biblioteca
Published: Frontiers Media 2021-10-22
Subjects:Remote sensing, High-throughput field phenotyping, Unmanned aerial vehicles (UAVs), Multi-sensor synergies, Open-data standards, Vegetation traits, Radiative transfer models (RTM), Smart farming,
Online Access:http://hdl.handle.net/10261/267757
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/501100000921
http://dx.doi.org/10.13039/501100002765
http://dx.doi.org/10.13039/501100002946
Tags: Add Tag
No Tags, Be the first to tag this record!