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Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring

Nicolas Virlet, Kasra Sabermanesh, Pouria Sadeghi‐Tehran, Malcolm J. Hawkesford

Year
2016
Citations
376
Access
Open access

Abstract

Current approaches to field phenotyping are laborious or permit the use of only a few sensors at a time. In an effort to overcome this, a fully automated robotic field phenotyping platform with a dedicated sensor array that may be accurately positioned in three dimensions and mounted on fixed rails has been established, to facilitate continual and high-throughput monitoring of crop performance. Employed sensors comprise of high-resolution visible, chlorophyll fluorescence and thermal infrared cameras, two hyperspectral imagers and dual 3D laser scanners. The sensor array facilitates specific growth measurements and identification of key growth stages with dense temporal and spectral resolution. Together, this platform produces a detailed description of canopy development across the crops entire lifecycle, with a high-degree of accuracy and reproducibility.

Keywords

Hyperspectral imagingRemote sensingField (mathematics)Precision agricultureComputer scienceBiologyComputer visionArtificial intelligenceEcology

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