Claim · model-written summary
AI enabled high-throughput phenotyping to predict crop salt stress and assess growth.
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Verbatim
e0“made it possible to perform high-throughput phenotyping using satellite snapshoots and hyperspectral imaging to estimate soil salinisation, predict salt stress in crops and assess plant growth.”
Title
Javier Santos del Río; Alicia Talavera; Noé Fernández-Pozo; et al. Journal of Experimental Botany 2025. doi:10.1093/jxb/eraf498
Other claims from this paper (5)
- Method / resource Early mono-omics predictive analyses illuminated plant salt-adaptation mechanisms.
- Method / resource AI enabled combined analysis of multi-omics and plant stress response parameters.
- Method / resource Sequence language models identified complex patterns in protein and nucleic acid sequences.
- Method / resource Protein language models gave satisfactory results identifying salt-stress-related post-translational modifications.
- Method / resource Predictive agro-climatic models are expected to increase crop yields and reduce cultivar-development time and costs.