UAV-based high-throughput phenotyping to discriminate barley vigour with visible and near-infrared vegetation indices

Abstract

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.

Plant phenotyping relevance

UAV画像と可視・近赤外植生指数を用いてオオムギ遺伝子型の生育勢を識別し、地上ハイパースペクトル測定と比較検証する手法研究であり、表現型取得・抽出が中心である。

Code and data availability

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