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Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology
RESEARCH ARTICLE

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

Norbert Kirchgessner A B , Frank Liebisch A , Kang Yu A , Johannes Pfeifer A , Michael Friedli A , Andreas Hund A and Achim Walter A
+ Author Affiliations
- Author Affiliations

A Institute of Agricultural Sciences, Group of Crop Sciences, ETH Zürich, Universitätstrasse 2, LFW C58, 8092 Zürich, Switzerland.

B Corresponding author. Email: norbert.kirchgessner@usys.ethz.ch

Functional Plant Biology 44(1) 154-168 https://doi.org/10.1071/FP16165
Submitted: 30 April 2016  Accepted: 5 September 2016   Published: 20 October 2016

Abstract

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 ~1 ha. The system operates from 2 to 5 m above the canopy, enabling a high image resolution. It can carry payloads of up to 12 kg 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.

Additional keywords: crop, growth, image analysis.


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