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A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
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An Integrated Multi-Omics and Artificial Intelligence Framework for Advance Plant Phenotyping in Horticulture
Danuta Cembrowska-Lech1,2, Adrianna Krzemińska2,3, Tymoteusz Miller2,4
1Department of Physiology and Biochemistry, Institute of Biology, University of Szczecin, Felczaka 3c, 71-412 Szczecin, Poland.
Biology
|October 27, 2023
Summary
Integrating multi-omics data with artificial intelligence (AI) revolutionizes plant phenotyping in horticulture. This approach enhances precision horticulture, predictive breeding, and sustainable crop management for future agricultural advancements.
Area of Science:
- Horticultural Science
- Bioinformatics
- Plant Biology
Background:
- Traditional plant phenotyping methods struggle with biological complexity.
- Multi-omics data (genomics, transcriptomics, proteomics, metabolomics) offer comprehensive biological insights.
- Artificial intelligence (AI) and machine learning (ML) are crucial for analyzing large multi-omics datasets.
Purpose of the Study:
- To review the integration of multi-omics data and AI for horticultural plant phenotyping.
- To present state-of-the-art solutions and address challenges in this interdisciplinary field.
- To explore future prospects and the transformative potential of this integration.
Main Methods:
- Review of current literature on multi-omics data integration and AI applications in plant phenotyping.
- Discussion of experimental design considerations for multi-omics and AI-driven phenotyping.
- Identification of technical and non-technical challenges and proposed solutions.
Main Results:
- AI and ML effectively interpret complex multi-omics data for plant phenotyping.
- Integration enables advanced solutions for horticultural research.
- Identified challenges and potential solutions for practical implementation.
Conclusions:
- The synergy of multi-omics and AI promises to revolutionize horticultural research and applications.
- This integration paves the way for precision horticulture, predictive breeding, and enhanced crop management.
- A new era in plant phenotyping is emerging, driven by data-driven insights.
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