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 study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
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, ...
LOUISVILLE, Ky. (WAVE) - Evapotranspiration is responsible for 15% of our atmosphere's water vapor. Evapotranspiration is the combination of evaporation and transpiration. Both processes release water ...
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 ...
Plant and Soil, Vol. 412, No. 1/2, Part I: Special Issue: Belowground solutions to global challenges (March 2017), pp. 215-233 (19 pages) Aims: A soil-plant-atmosphere continuum (SPAC) model for ...
A research team has developed a low-cost, high-throughput phenotyping platform that continuously measures plant transpiration ...
A new discovery by Tel Aviv University has succeeded in cultivating and characterizing tomato varieties with higher water use efficiency without compromising yield. The researchers, employing CRISPR ...
Israeli researchers at Tel Aviv University have succeeded in cultivating and characterizing tomato varieties with higher water use efficiency without compromising yield. The researchers, employing ...
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