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Updated: Dec 27, 2025

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
Published on: August 5, 2020
Phenotyping: New Windows into the Plant for Breeders
Michelle Watt1, Fabio Fiorani1, Björn Usadel1,2
1IBG-2: Plant Sciences, Institute of Bio- and Geosciences, Forschungszentrum Jülich, 52425 Jülich, Germany; email: u.schurr@fz-juelich.de, m.watt@fz-juelich.de.
Plant phenotyping uses noninvasive technologies to quantify plant traits for crop improvement. Recent advances in field phenotyping, sensing, data science, and robotics accelerate breeding and data accessibility.
Area of Science:
- Agricultural Science
- Plant Biology
- Biotechnology
Background:
- Plant phenotyping is crucial for understanding plant structure, function, and environmental interactions.
- High-capacity phenotyping allows for the study of previously inaccessible phenotypic characteristics.
- Diverse applications of phenotyping are utilized by scientists, prebreeders, and breeders for crop improvement.
Purpose of the Study:
- To review recent advancements in plant phenotyping technologies for seed, shoot, and root traits.
- To highlight the role of proximal and remote sensing in field phenotyping.
- To discuss the integration of data science and robotics with plant phenotyping.
Main Methods:
- Noninvasive technologies for analyzing experimental and breeding populations.
- Controlled-environment and field phenotyping approaches.
- Proximal and remote sensing technologies for plant analysis.
Main Results:
- Field phenotyping technologies are becoming state-of-the-art, accelerating early-generation breeding.
- Rapid advances in proximal and remote sensing are enhancing plant analysis in fields.
- New collaborations with data science and robotics are emerging.
Conclusions:
- Plant phenotyping is essential for crop improvement by enabling detailed trait analysis.
- Emerging technologies and interdisciplinary collaborations are poised to revolutionize plant breeding.
- Focus on generating FAIR data and on-farm applications will drive future phenotyping research.
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