Improved estimation of stomatal conductance by combining high-throughput plant phenotyping data and weather variables through machine learning
Stomatal conductance (gs) quantifies the rate of exchange of carbon dioxide for photosynthesis and water vapor for transpiration between plant leaves and the atmosphere. gs is usually measured by handheld devices like porometers, and readings are manually taken in the field, which is time-consuming...
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| Main Authors: | Junxiao Zhang, Kantilata Thapa, Geng (Frank) Bai, Yufeng Ge |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Agricultural Water Management |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377425000356 |
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