Results 21 to 30 of about 1,754 (211)

Evaluation of Irrigation Modes for Greenhouse Drip Irrigation Tomatoes Based on AquaCrop and DSSAT Models. [PDF]

Plants (Basel), 2023
The improvement of the simulation accuracy of crop models in different greenhouse environments would be better applied to the automation management of greenhouse cultivation.
Ge J, Yu Z, Gong X, Ping Y, Luo J, Li Y.
europepmc   +2 more sources

SpatialAquaCrop, an R Package for Raster-Based Implementation of the AquaCrop Model. [PDF]

Plants (Basel), 2022
Modeling crop water use and soil moisture availability is becoming increasingly critical, particularly in light of recent drought events. Our study focuses on the spatial application of the AquaCrop model, using a raster-based approach in an R-based environment.
Barros VD, Waltner I, Minoarimanana RA, Halupka G, Sándor R, Kaldybayeva D, Gelybó G.   +6 more
europepmc   +5 more sources

Simulation of alfalfa yield with AquaCrop

Agricultural Water Management, 2023
The AquaCrop simulation model, originally designed for annual crops, is expanded here to simulate alfalfa, a perennial forage crop. A new routine was added to the model to mimic the assimilate partitioning between above and below-ground plant parts to account for the utilization of reserves in Spring and for their storage in the Fall. The simulation of
Raes, Dirk, Fereres, Elias, Vila, Margarita Garcia, Curnel, Yannick, Knoden, David, Celik, Sema Kale, Ucar, Yusuf, Turk, Mevlut, Wellens, Joost   +8 more
openaire   +5 more sources

AquaCrop parametrisation for quinoa in arid environments

Italian Journal of Agronomy, 2021
The resilience of quinoa to drought stress conditions makes the crop suitable for the Sahel region. It can support grain production during the dry season and be considered an alternative crop for alleviating food insecurity within the region. Given the importance of this crop outside the indigenous cultivation area, there is a requisite for the ...
Alvar-Beltran, J., Gobin, A., Orlandini, S., Dalla Marta, A.   +3 more
openaire   +5 more sources

Comparison of Virtual Water Amount and Sugarcane Consumption in Water Shortage Conditions of Khuzestan Region, Iran [PDF]

Water Harvesting Research, 2023
This study aimed to assess the virtual water of sugarcane under two irrigation scenarios in the Khuzestan province of Iran. The first scenario (S1) reflected current water consumption conditions in sugarcane fields, while the second scenario (S2 ...
Seyedeh Zahra Nouri, Aliheidar Nasrolahi, Mohsen Ahmadee   +2 more
doaj   +1 more source

Sugar Beet Agronomic Performance Evolution in NW Spain in Future Scenarios of Climate Change

Agronomy, 2020
Changes in environmental conditions resulting from Climate Change are expected to have a major impact on crops. In order to foresee adaptation measures and to minimize yield decline, it is necessary to estimate the effect of those changes on the ...
Luis Fernando Sánchez-Sastre, Nuno M. S. Alte da Veiga, Norlan Miguel Ruiz-Potosme, Salvador Hernández-Navarro, José Luis Marcos-Robles, Jesús Martín-Gil, Pablo Martín-Ramos   +6 more
doaj   +1 more source

Comparison of the machine learning and AquaCrop models for quinoa crops

Research in Agricultural Engineering, 2023
One of the main causes of having low crop efficiency in Peru is the poor management of water resources; which 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.
Chumbe Llimpe, Rossy Jackeline, Silva Paucar, Stefany Dennis, García López, Yván Jesús   +2 more
openaire   +3 more sources

Integrated water management under climate change through the application of the WEAP model in a Mediterranean arid region

Journal of Water and Climate Change, 2022
This research aims at establishing an integrated modelling framework to assess the impact of climate change on water supply and demand across an arid area in the western Haouz plain in Morocco.
Abdessamad Hadri, Mohamed El Mehdi Saidi, El Mahdi El Khalki, Brahim Aachrine, Tarik Saouabe, Abdeslam Ait Elmaki   +5 more
doaj   +1 more source

The probabilistic behavior of AquaCrop parameters: a Monte-Carlo study

Stochastic Environmental Research and Risk Assessment, 2022
Abstract Crop growth models are multi-outputs and can be valuable tools for the quantification of crop growth and production. However, these models usually require several input data, which are costly, time-consuming, and sometimes impossible to measure. These input parameters are mostly estimated by calibration and inverse solving.
Hadi Ramezani Etedali, vahid adabi, Faraz Gorgin, asghar azizian   +3 more
openaire   +1 more source

Statistical criteria for calibration of AquaCrop.

, 2022
Statistical criteria for calibration of AquaCrop.
Niazali Ebrahimipak (13020810), Seyed-Habib Mousavi-Jahromi (13020813), Hadi Ramezani Etedali (13020816), Hossein Babazadeh (13020807), Sara Bulukazari (13020804)   +4 more
core   +1 more source