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Comparing Aquacrop Estimated Transpiration with Sap Flow Measurements in Drip-Irrigated Cotton
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inferredcites →https://doi.org/10.1002/hyp.8208openalex-extracted
Evapotranspiration of a drip‐irrigated, film‐mulched cotton field in northern Xinjiang, China
inferredcites →https://doi.org/10.1007/s00271-020-00705-zopenalex-extracted
Performance assessment of the AquaCrop model for film-mulched maize with full drip irrigation in Northwest China
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Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments
inferredcites →https://doi.org/10.1007/s11269-013-0341-0openalex-extracted
Optimizing Deficit Irrigation Scheduling Under Shallow Groundwater Conditions in Lower Reaches of Amu Darya River Basin
inferredcites →https://doi.org/10.1007/s11269-018-2087-1openalex-extracted
Irrigation Scheduling Optimization for Cotton Based on the AquaCrop Model
inferredcites →https://doi.org/10.1016/j.agrformet.2016.03.014openalex-extracted
Contribution of sapwood traits to uncertainty in conifer sap flow as estimated with the heat-ratio method
inferredcites →https://doi.org/10.1016/j.agrformet.2017.04.003openalex-extracted
Calibration and comparison of thermal dissipation, heat ratio and heat field deformation sap flow probes for diffuse-porous trees
inferredcites →https://doi.org/10.1016/j.agrformet.2019.107850openalex-extracted
Calibration and evaluation of aquacrop for groundnut (Arachis hypogaea) under water deficit conditions
inferredcites →https://doi.org/10.1016/j.agsy.2016.11.001openalex-extracted
Performance of AquaCrop and SIMDualKc models in evapotranspiration partitioning on full and deficit irrigated maize for seed production under plastic film-mulch in an arid region of China
inferredcites →https://doi.org/10.1016/j.agsy.2021.103220openalex-extracted
Experiences and challenges of agricultural development in an artificial oasis: A review
inferredcites →https://doi.org/10.1016/j.agwat.2011.08.023openalex-extracted
Validation and testing of the AquaCrop model under full and deficit irrigated wheat production in Iran
inferredcites →https://doi.org/10.1016/j.agwat.2014.07.031openalex-extracted
Crop evapotranspiration estimation with FAO56: Past and future
inferredcites →https://doi.org/10.1016/j.agwat.2015.09.007openalex-extracted
Performance assessment of AquaCrop model for estimating evapotranspiration, soil water content and grain yield of winter wheat in Tensift Al Haouz (Morocco): Application to irrigation management
inferredcites →https://doi.org/10.1016/j.agwat.2019.105753openalex-extracted
Assessment of AquaCrop model in simulating maize canopy cover, soil-water, evapotranspiration, yield, and water productivity for different planting dates and densities under irrigated and rainfed conditions
inferredcites →https://doi.org/10.1016/j.agwat.2021.107040openalex-extracted
Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks
inferredcites →https://doi.org/10.1016/j.agwat.2022.107611openalex-extracted
Sap velocity, transpiration and water use efficiency of drip-irrigated cotton in response to chemical topping and row spacing
inferredcites →https://doi.org/10.1016/j.biosystemseng.2017.08.003openalex-extracted
Assimilation of canopy cover and biomass measurements in the crop model AquaCrop
inferredcites →https://doi.org/10.1016/j.ecolecon.2016.12.012openalex-extracted
Multiple Policy Instruments for Sustainable Water Management in Crop Production - A Modeling Study for the Chinese Aksu-Tarim Region
inferredcites →https://doi.org/10.1016/j.ecolecon.2019.01.032openalex-extracted
International trade of global scarce water use in agriculture: Modeling on watershed level with monthly resolution
inferredcites →https://doi.org/10.1016/j.envsoft.2014.08.005openalex-extracted
AquaCrop: FAO's crop water productivity and yield response model
inferredcites →https://doi.org/10.1016/j.fcr.2007.12.014openalex-extracted
Light interception and utilization in relay intercrops of wheat and cotton
inferredcites →https://doi.org/10.1016/j.fcr.2015.03.012openalex-extracted
Generalization of the root length density distribution of cotton under film mulched drip irrigation
inferredcites →https://doi.org/10.1016/j.fcr.2019.03.008openalex-extracted
Determination of crop water use and coefficient in drip-irrigated cotton fields in arid regions
inferredcites →https://doi.org/10.1016/j.fcr.2019.107613openalex-extracted
Dynamic process-based modelling of crop growth and competitive water extraction in relay strip intercropping: Model development and application to wheat-maize intercropping
inferredcites →https://doi.org/10.1016/j.fcr.2021.108182openalex-extracted
Global sensitivity analysis of crop yield and transpiration from the FAO-AquaCrop model for dryland environments
inferredcites →https://doi.org/10.1016/j.fcr.2021.108337openalex-extracted
Plant topping effects on growth, yield, and earliness of field-grown cotton as mediated by plant density and ecological conditions
inferredcites →https://doi.org/10.1016/j.fcr.2022.108680openalex-extracted
Parameterizing the AquaCrop model for potato growth modeling in a semi-arid region
inferredcites →https://doi.org/10.1016/j.fcr.2024.109304openalex-extracted
Cotton crop transpiration reveals opportunities to reduce yield loss when applying defoliants for efficient mechanical harvesting
inferredcites →https://doi.org/10.1016/j.jhydrol.2016.06.033openalex-extracted
Agricultural water supply/demand changes under projected future climate change in the arid region of northwestern China
inferredcites →https://doi.org/10.1016/j.jhydrol.2021.125977openalex-extracted
Effect of natural factors and management practices on agricultural water use efficiency under drought: A meta-analysis of global drylands
inferredcites →https://doi.org/10.1016/s0378-4290(96)00046-9openalex-extracted
Cotton responses to simulated insect damage: Radiation-use efficiency, canopy architecture and leaf nitrogen content as affected by loss of reproductive organs
inferredcites →https://doi.org/10.1029/2006gl027114openalex-extracted
A simple pan‐evaporation model for analysis of climate simulations: Evaluation over Australia
inferredcites →https://doi.org/10.1071/fp04013openalex-extracted
A validation, comparison and error analysis of two heat-pulse methods for measuring sap flow in Eucalyptus marginata saplings
inferredcites →https://doi.org/10.1071/fp12233openalex-extracted
Sap-flux density measurement methods: working principles and applicability
inferredcites →https://doi.org/10.1111/j.1365-2486.2011.02589.xopenalex-extracted
On the forest cover–water yield debate: from demand‐ to supply‐side thinking
inferredcites →https://doi.org/10.13031/trans.57.10423openalex-extracted
Two-Source Energy Balance Model to Calculate E, T, and ET: Comparison of Priestley-Taylor and Penman-Monteith Formulations and Two Time Scaling Methods
inferredcites →https://doi.org/10.2134/agronj2008.0139sopenalex-extracted
AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles
inferredcites →https://doi.org/10.2134/agronj2008.0140sopenalex-extracted
AquaCrop — The FAO Crop Model to Simulate Yield Response to Water: II. Main Algorithms and Software Description
inferredcites →https://doi.org/10.2134/agronj2008.0182sopenalex-extracted
Parameterization and Evaluation of the AquaCrop Model for Full and Deficit Irrigated Cotton
inferredcites →https://doi.org/10.2134/agronj2010.0076openalex-extracted
Estimating Crop Water Use of Cotton in the Texas High Plains
inferredcites →https://doi.org/10.3389/fpls.2022.893994openalex-extracted
Understanding and Exploiting Transpiration Response to Vapor Pressure Deficit for Water Limited Environments
inferredcites →https://doi.org/10.3389/fpls.2023.1119076openalex-extracted
Heat stress decreased transpiration but increased evapotranspiration in gerbera
inferredcites →https://doi.org/10.3390/agronomy13092248openalex-extracted
Reducing Irrigation and Increasing Plant Density Enhance Both Light Interception and Light Use Efficiency in Cotton under Film Drip Irrigation
inferredcites →https://doi.org/10.3390/plants11151925openalex-extracted
A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning
inferredcites →https://doi.org/10.5194/hess-18-1053-2014openalex-extracted
A comparison of methods for determining field evapotranspiration: photosynthesis system, sap flow, and eddy covariance
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