Results 121 to 130 of about 2,761 (197)

PDSI_CMIP6: an ensemble CMIP6-projected self-calibrated Palmer drought severity index dataset. [PDF]

Sci Data
Xiong J, Yang Y.
europepmc   +1 more source

Comparative assessment of empirical and hybrid machine learning models for estimating daily reference evapotranspiration in sub-humid and semi-arid climates. [PDF]

Sci Rep
Acharki S, Raza A, Vishwakarma DK, Amharref M, Bernoussi AS, Singh SK, Al-Ansari N, Dewidar AZ, Al-Othman AA, Mattar MA.   +9 more
europepmc   +1 more source

Integrating new fruit and vegetable growth parameters in SWAT models for improved simulations. [PDF]

Front Plant Sci
Brighenti TM, Čerkasova N, Stone TF, Gassman PW, Arnold JG, Kiniry JR, Liebman M, Meki MN, Srinivasan R, Nair A, White MJ, Thompson JR.   +11 more
europepmc   +1 more source

Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction. [PDF]

Sci Rep
Lv X, Li Y, Zhangzhong L, Tong C, Wei Y, Li G, Yang Y.   +6 more
europepmc   +1 more source

CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060. [PDF]

Open Res Eur
Zomer RJ, Xu J, Spano D, Trabucco A.
europepmc   +1 more source

Comprehensive dataset for olive tree varieties responses to different level of drought stress. [PDF]

Data Brief
Majikumna KU, Zineddine M, Mustapha M, Friedman L, Kaufman E, Alaoui AEH.   +5 more
europepmc   +1 more source

Predicting the canopy conductance to water vapor of grapevines using a biophysical model in a hot and arid climate. [PDF]

Front Plant Sci
Egipto RJL, Aquino A, Andújar JM.
europepmc   +1 more source

Editorial: Enhancing agricultural water management: techniques for improving crop water efficiency and sustainability. [PDF]

Front Plant Sci
Wu Q, Sun Y, Zhou H.
europepmc   +1 more source

Parameterization of Four Models to Estimate Crop Evapotranspiration in a Solar Greenhouse. [PDF]

Plants (Basel)
Gao S, Li Y, Gong X, Li Y.
europepmc   +1 more source

Integrating Load-Cell Lysimetry and Machine Learning for Prediction of Daily Plant Transpiration. [PDF]

Plant Cell Environ
Friedman S, Averbuch N, Nevo T, Moshelion M.   +3 more
europepmc   +1 more source