An enhanced shuttleworth-wallace model for simulation of evapotranspiration and its components
Abstract The Shuttleworth-Wallace two-source (SW) model has been widely applied to
estimate evapotranspiration (ET) and its components in a variety of vegetation-covered …
estimate evapotranspiration (ET) and its components in a variety of vegetation-covered …
Widespread increase in plant transpiration driven by global greening
Global plant transpiration (PT) is a crucial component of the Earth's hydrological cycle and
plays a significant role in regulating the exchange of water and energy between the land …
plays a significant role in regulating the exchange of water and energy between the land …
[HTML][HTML] Machine learning models perform better than traditional empirical models for stomatal conductance when applied to multiple tree species across different …
Stomatal closure decreases water loss and is one of the main mechanisms that trees can
use to mitigate drought-induced physiological stress. The adaptability of trees to drought is …
use to mitigate drought-induced physiological stress. The adaptability of trees to drought is …
[HTML][HTML] 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 …
photosynthesis and water vapor for transpiration between plant leaves and the atmosphere …
[HTML][HTML] Explainable machine learning for predicting stomatal conductance across multiple plant functional types
Stomatal conductance (gs) is a key leaf-level function controlling water, carbon, and energy
exchange between vegetation and the surrounding environment. Conventionally, semi …
exchange between vegetation and the surrounding environment. Conventionally, semi …
[HTML][HTML] Interpreting Controls of Stomatal Conductance across Different Vegetation Types via Machine Learning
R Xue, W Zuo, Z Zheng, Q Han, J Shi, Y Zhang, J Qiu… - Water, 2024 - mdpi.com
Plant stomata regulate transpiration (T) and CO2 assimilation, essential for the water–
carbon cycle. Quantifying how environmental factors influence stomatal conductance will …
carbon cycle. Quantifying how environmental factors influence stomatal conductance will …
Predicting flower induction of litchi (Litchi chinensis Sonn.) with machine learning techniques
Z Su, L Liu, Y Li, H Chen - Computers and Electronics in Agriculture, 2023 - Elsevier
The flower induction is a critical physiological change during which vegetative buds transit to
floral buds. The duration of flower induction (DFI) for litchi plays determinative role for the …
floral buds. The duration of flower induction (DFI) for litchi plays determinative role for the …
Prediction of South American leaf blight and disease-induced photosynthetic changes in rubber tree, using machine learning techniques on leaf hyperspectral …
A Sterling, JA Di Rienzo - Plants, 2022 - mdpi.com
The efficiency of visible and near-infrared (VIS/NIR) sensors and predictive modeling for
detecting and classifying South American Leaf Blight (SALB)(Pseudocercospora ulei) in …
detecting and classifying South American Leaf Blight (SALB)(Pseudocercospora ulei) in …
Estimating canopy stomatal conductance and photosynthesis in apple trees by upscaling parameters from the leaf scale to the canopy scale in Jinzhong Basin on …
G Gao, Y Hao, Q Feng, X Guo, J Shi, B Wu - Plant Physiology and …, 2023 - Elsevier
The estimations of stomatal conductance and photosynthesis performed by upscaling the
parameters from the leaf scale to the canopy scale are key points in the fields of forest …
parameters from the leaf scale to the canopy scale are key points in the fields of forest …
Utilização de diferentes técnicas de machine learning no processo de determinação da emissão da CO2 do solo, em função dos atributos do sistema solo-planta …
PA Silva - 2022 - repositorio.unesp.br
Nos últimos anos houve um aumento significativo nos níveis de concentração de CO2 na
atmosfera. A intensificação desse processo vem aumentando desde a era pré-industrial …
atmosfera. A intensificação desse processo vem aumentando desde a era pré-industrial …