AquaCrop-OSPy: Bridging the gap between research and practice in crop-water modeling
Crop-growth models are powerful tools for supporting optimal planning and management of agricultural water use globally. However, use of crop models for this purpose often requires advanced programming expertize and computational resources, limiting the ...
Foster, T., Kelly, T.D.
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Optimization of deficit irrigation system for drip-irrigated corn in northern Xinjiang using dynamic reconstruction and dual physics-informed neural networks to drive AquaCrop. [PDF]
Zhang H, Zhao J, Hong M, Ma L.
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Regional water footprint assessment for a semi-arid basin in India. [PDF]
Mehla MK.
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Editorial: Physiological growth of crops in saline-alkali land and its new quality productive control methods. [PDF]
Guleria P, Fan J, Su L, Zhang J, Chen W.
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Evaluation of Growth Responses of Lettuce and Energy Efficiency of the Substrate and Smart Hydroponics Cropping System. [PDF]
Dutta M +9 more
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Methodological evolution of potato yield prediction: a comprehensive review. [PDF]
Lin Y +9 more
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Evaluating crop yield prediction models in illinois using aquacrop, semi-physical model and artificial neural networks. [PDF]
Gautam V, Gani A, Pathak S, Shukla AK.
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Crop model ideotyping for agricultural diversification. [PDF]
Wimalasiri EM +4 more
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Calibración y validación del modelo Aquacrop para tomate industrial (Solanum Lycopersicum)
Tesis presentada para optar al título de Ingeniero AgrónomoEl estudio se centra en la calibración y validación del modelo AquaCrop para el cultivo de tomate industrial (Solanum lycopersicum), abordando la importancia del tomate a nivel mundial y los ...
Fres Morales, Pablo Salatiel
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Research on Water and Fertilizer Use Strategies for Silage Corn Under Different Irrigation Methods to Mitigate Abiotic Stress. [PDF]
Tian D, Chen Y, Xu B, Wang G, Xu L.
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