08 FeatureFinder (FeaFi)

Image gallery:

Contact:

Gernot Bodner

BOKU, Institute of Agronomy
Konrad Lorenz-Straße 24
3430 Tulln an der Donau

Email: gernot.bodner@boku.ac.at
Phone: +43 1 47654 95115

Key facts:

Description:

Name FeatureFinder (FeaFi)
Location BOKU, DNW, UFT, Konrad-Lorenz-Straße 24/II 3430 Tulln an der Donau
Category Low throughput climate chamber
Environment Climate chamber grown plants in pots
Sensors Hyperspectral (400-1000 nm), Lidar, RGB, Thermal infrared, balances (transpiration), soil matric potential, soil temperature, stem water potential
Traits Plant physiology (transpiration, plant water potential), water stress, leaf architecture
Capacity Time series of single plants
Limitations – Single plant imaging over time; repeated measurement necessary to obtain replicate measurement.
– Data processing semi-automatized; requires programming skills.

References
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FeaFi (FeatureFinder) is an infrastructure for multimodal imaging of canopies together with physiological plant traits. The imaging sensors are registered to obtain high resolution multimodal images at the single pixel scale and thereby allow precise spatio-temporal tracking of spectral features of canopies encoding stress response of plants. The infrastructure is mainly intended for early phenotyping tasks related to plant physiology such as (i) differential spatio-temporal response of leaf temperature, leaf water content and other spectral features upon plant stress induction, (ii) development of multimodal spectral models for plant physiological features, and (iii) spectral band detection and prediction models for high-throughput phenotyping. FiFea thus represents a scientific pre-phenotyping and high-resolution imaging infrastructure for plant physiologists. Basic image registration software is currently developed; however image processing skills are still of high relevance to make use of the acquired datasets for researching scientific hypothesis.