Review and perspective of key generic technologies in crop phenomics

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Key Points

This review explores the evolution of crop phenomics technology, emphasizing the transition to intelligent detection systems.
Detailed examination of various imaging techniques: visible light, 3D, spectral, chlorophyll fluorescence, thermal infrared imaging.
Evaluation of phenotypic detection platforms from cellular/tissue to organ, individual plant, and population levels.
Identification of challenges in data heterogeneity and model performance, proposing solutions for standardized data collection and analysis.
Highlighted advancements in sensor technologies enable more comprehensive crop phenotyping.
Proposed pathways to enhance data quality and model transferability across different agricultural scenarios.
Advocated for building a FAIR-compliant database to improve data accessibility and integration.

Review discusses advancements in sensor technologies and AI for enhancing crop phenomics, suggesting improved data handling and analysis strategies.

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Guo et al. (2026) studied this question.

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