Plant phenotyping: from bean weighing to image analysis.

Area of Science:

• Plant Science
• Agricultural Technology
• Computational Biology

Background:

• Plant phenotyping quantifies anatomical, developmental, physiological, and biochemical plant properties.
• Rapid advancements in non-destructive, image-analysis techniques enable high-throughput plant trait characterization.
• The field has evolved from controlled single-plant studies to robust field applications for plots and canopies.

Purpose of the Study:

• To highlight the evolution and broadening scope of image-based plant phenotyping.
• To emphasize the importance of holistic plant performance characterization.
• To showcase diverse methodologies including image analysis, thermography, and growth measurements.

Main Methods:

• Non-destructive, image-analysis-based phenotyping for high-throughput trait characterization.
• Application of robust field techniques in plant plots and canopies.
• Integration of multispectral imaging, thermographical analysis, and growth measurements.

Main Results:

• Image-based phenotyping has expanded from controlled settings to real-world field applications.
• Holistic characterization of plant performance is achievable through various integrated methodologies.
• Root phenotypes are increasingly incorporated into comprehensive phenotyping strategies.

Conclusions:

• Image-based plant phenotyping is a rapidly advancing field with significant real-world applications.
• Holistic approaches combining multiple methodologies are crucial for comprehensive plant performance assessment.
• Future phenotyping strategies will likely integrate diverse data types, including root traits, for a complete understanding of plant biology.