Results 141 to 150 of about 113,638 (207)

Monitoring plant moisture content and optimizing irrigation prescriptions based on UAV multimodal data. [PDF]

Front Plant Sci
Fu W, Hou X, Wang D, Chen Z, Cheng Q, Li Y, Duan F.   +6 more
europepmc   +1 more source

Large Variations in the Transpiration of Sorghum Canopies Under High Evaporative Demand Are Positively Related to Water Use Efficiency. [PDF]

Plant Cell Environ
Pilloni R, Aparna K, El Ghazzal Z, Kar S, Hajjarpoor A, Xue W, Affortit P, Ribière W, Badji R, Sine B, Kholova J, Tardieu F, Vadez V.   +12 more
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

Global spatially detailed water footprint of crop production over five decades. [PDF]

Sci Rep
Demeke BW, Mekonnen MM, Brauman KA, Magliocca N, Moradkhani H.   +4 more
europepmc   +1 more source

A 0.1° monthly potential evapotranspiration dataset based on the optimal models over global vegetation zones. [PDF]

Sci Data
Bi Z, Sun S, Ma Q, Liu Y, Li X, Li J, Liu Y, Zhou Y, Zhou B, Chen H.   +9 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

Physically-constrained evapotranspiration models with machine learning parameterization outperform pure machine learning: Critical role of domain knowledge. [PDF]

PLoS One
Kim Y, Garcia M, Andrew Black T, Johnson MS.   +3 more
europepmc   +1 more source

Comparison of the performances of six empirical mass transfer-based reference evapotranspiration estimation models in semi-arid conditions. [PDF]

PeerJ
Usta S.
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

Research on methods for estimating reference crop evapotranspiration under incomplete meteorological indicators. [PDF]

Front Plant Sci
Sun X, Zhang B, Dai M, Gao R, Jing C, Ma K, Gu S, Gu L, Zhen W, Gu X.   +9 more
europepmc   +1 more source