The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system.
Journal article

The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system.

  • Kirchgessner N Institute of Agricultural Sciences, Group of Crop Sciences, ETH Zürich, Universitätstrasse 2, LFW C58, 8092 Zürich, Switzerland.
  • Liebisch F Institute of Agricultural Sciences, Group of Crop Sciences, ETH Zürich, Universitätstrasse 2, LFW C58, 8092 Zürich, Switzerland.
  • Yu K Institute of Agricultural Sciences, Group of Crop Sciences, ETH Zürich, Universitätstrasse 2, LFW C58, 8092 Zürich, Switzerland.
  • Pfeifer J Institute of Agricultural Sciences, Group of Crop Sciences, ETH Zürich, Universitätstrasse 2, LFW C58, 8092 Zürich, Switzerland.
  • Friedli M Institute of Agricultural Sciences, Group of Crop Sciences, ETH Zürich, Universitätstrasse 2, LFW C58, 8092 Zürich, Switzerland.
  • Hund A Institute of Agricultural Sciences, Group of Crop Sciences, ETH Zürich, Universitätstrasse 2, LFW C58, 8092 Zürich, Switzerland.
  • Walter A Institute of Agricultural Sciences, Group of Crop Sciences, ETH Zürich, Universitätstrasse 2, LFW C58, 8092 Zürich, Switzerland.
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  • 2020-06-03
Published in:
  • Functional plant biology : FPB. - 2016
English Crop phenotyping is a major bottleneck in current plant research. Field-based high-throughput phenotyping platforms are an important prerequisite to advance crop breeding. We developed a cable-suspended field phenotyping platform covering an area of ~1ha. The system operates from 2 to 5m above the canopy, enabling a high image resolution. It can carry payloads of up to 12kg and can be operated under adverse weather conditions. This ensures regular measurements throughout the growing period even during cold, windy and moist conditions. Multiple sensors capture the reflectance spectrum, temperature, height or architecture of the canopy. Monitoring from early development to maturity at high temporal resolution allows the determination of dynamic traits and their correlation to environmental conditions throughout the entire season. We demonstrate the capabilities of the system with respect to monitoring canopy cover, canopy height and traits related to thermal and multi-spectral imaging by selected examples from winter wheat, maize and soybean. The system is discussed in the context of other, recently established field phenotyping approaches; such as ground-operating or aerial vehicles, which impose traffic on the field or require a higher distance to the canopy.
Language
  • English
Open access status
closed
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Persistent URL
https://folia.unifr.ch/global/documents/77831
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