Advanced High-Throughput Phenotyping Techniques for Managing Abiotic Stress in Agricultural Crops—A Comprehensive Review

Abstract

Abiotic stresses, such as drought, salinity, and heat, exacerbated by climate change, pose significant challenges to global agriculture. These stresses negatively impact crop physiology, leading to yield losses and complicating efforts to breed resilient varieties. While advancements in molecular biology and genomics have identified stress-resistance genes, their effective utilization in breeding programs depends on precise phenotypic evaluation under diverse stress conditions. High-throughput phenotyping (HTP) technologies have emerged as indispensable tools, enabling non-destructive, rapid assessment of critical traits like root architecture, chlorophyll content, and canopy temperature in controlled and field environments. Unlike existing reviews, this manuscript critically addresses technological barriers such as cost scalability, field adaptability, and the integration of artificial intelligence for real-time data analysis. Additionally, it provides a fresh perspective on multi-omics integration in phenomics to bridge the genotype–phenotype gap, ensuring a more holistic approach to precision agriculture. This review bridges gaps in crop improvement by identifying practical solutions to enhance the adoption of HTP in breeding programs. It ensures food security amidst the escalating impacts of climate change.

Plant phenotyping relevance

植物のハイスループット表現型解析技術を主題とし、技術的障壁やAI統合、育種への適用を論じるレビューであるため、方法レビューとして収載する。

Code and data availability

This is a comprehensive review article with no original phenotyping measurements, datasets, images, or author analysis code. All cited platforms, tools, and studies (e.g., GROWSCREEN-Rhizo, GiA Roots, HTPheno) are prior work, not paper-specific assets. No data or code availability statements appear beyond funding and a

No evidence-backed public reproduction asset is currently recorded.