A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning. [PDF]
Batool D +9 more
europepmc +1 more source
Modeling the impacts of climate-smart practices on soil-water interaction and wheat yield under climate change in central Ethiopia. [PDF]
Biratu AA +10 more
europepmc +1 more source
Optimization of water and land allocation in salinity and deficit- irrigation conditions at farm level in Qazvin plain. [PDF]
Bulukazari S +4 more
europepmc +1 more source
Applying AquaCrop-OSPy to real-time irrigation
openaire +1 more source
Evaluation of cotton production sustainability and water footprints in the oasis area of southern Xinjiang under climate change. [PDF]
Wang H, Jiang F, Wang X.
europepmc +1 more source
Application of UAV Remote Sensing in Monitoring Water Use Efficiency and Biomass of Cotton Plants Adjacent to Shelterbelt. [PDF]
Ma B +5 more
europepmc +1 more source
Comparison of the machine learning and aquacrop models for quinoa crops
One of the main causes of low crop efficiency in Peru is poor management of water resources; that is why the main objective of this article is to estimate the amount of irrigation water required in quinoa crops through a comparison between the machine learning and Aquacrop models. For the development of this study, meteorological data from the province
Chumbe Llimpe, Rossy Jackeline +1 more
openaire +1 more source
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
core
Optimizing irrigation scheduling for winter wheat using the AquaCrop model in Xinjiang, China. [PDF]
Fu Q +6 more
europepmc +1 more source
Regional water footprint assessment for a semi-arid basin in India. [PDF]
Mehla MK.
europepmc +1 more source

