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.

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 new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

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A proper mechanistic understanding of how whole-tree transpiration varies as a function of environmental conditions is essential for predicting how vegetation will respond to climate change, ...

Plants rely on efficient internal transport systems to distribute essential mineral nutrients, yet how this distribution is ...