In the context of plant breeding, high-throughput phenotyping is an assessment of plant phenotypes on a scale and with a level of speed and precision not achievable with traditional methods, through the application of emerging technologies such as automation and robotics, new sensors,
and imaging technologies (hardware and software). In the present work, high-resolution digital images have been acquired with an unmanned aerial vehicle (UAV) prototype platform on an experimental phenotyping barley field. Six vegetation indices generated from the red–green–blue
and near-infrared-based images were calculated for 912 experimental barley plots and provided high correlation with the indices determined from hyperspectral data taken at the ground (gt); the indices performance in discriminating the vigour of genotypes was finally assessed.
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Document Type: Research Article
Institute of Biometeorology, National Research Council (CNR-IBIMET), Florence, Italy
Research Centre for Genomics and Bioinformatics, Council for Agricultural Research and Economics (CREA-GB), Fiorenzuola D’Arda, Italy
Institute of Clinical Physiology, National Research Council (CNR-IFC), Pisa, Italy
Publication date: August 18, 2018
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