A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
A new method predicts leaf optical properties from traits, improving canopy light modeling and photosynthesis estimates in ...
By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...
A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...
A Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress.
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