Method / resourcemodel-written summary

Predictive agro-climatic models are expected to increase crop yields and reduce cultivar-development time and costs.

A claim from Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration · 2025

Method / resourceauthor interpretationreview summarypositiveprojected

Claim · model-written summary

Predictive agro-climatic models are expected to increase crop yields and reduce cultivar-development time and costs.

Taxon
crope0
Outcome
increase yieldse0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier

Verbatim

e0

“Predictive agro-climatic models are proving beneficial to the crop agriculture sector: they are expected to increase yields and reduce the time and costs involved in the development or identification of commercially viable salt-tolerant cultivars.”

✓ located verbatim in the source · abstract, characters 1211–1458

Title

Artificial intelligence in plant salt stress research: from predictive models to multi-omics integration

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)

Record rev-8af1fbb87f701d4148e03b6f71ce2984d89d7d2e94f2bfa26a96e546b693d492 · schema claims-v0.9 · position 6 in the model’s answer