AquaData and AquaGIS: Two computer utilities for temporal and spatial simulations of water-limited yield with AquaCrop

Lorite, Ignacio J.; García-Vila, Margarita; Santos, C.; Ruiz‐Ramos, Margarita; Fereres, E.

doi:10.1016/j.compag.2013.05.010

Cited by 64 publications

(39 citation statements)

References 24 publications

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“…This is the main improvement of our tool when compared with other approaches. Indeed, remote sensing technology has been incorporated into some DSS platforms (System of Participatory Information, Decision-support, and Expert knowledge for River-basin management, SPIDER [27]; Automated Radiative Transfer Models Operator, ARTMO [44]; AquaGIS [45]; Online Professional Irrigation Scheduling; Flexible and PrecIse IrriGation PlAtform to Improve FaRm Scale Water PrOductivity, FIGARO [46]). Some of these platforms are still ongoing developments, while some others provide information about other aspects of plant physiology and not directly on crop water requirements.…”

Section: Discussionmentioning

confidence: 99%

A Novel ArcGIS Toolbox for Estimating Crop Water Demands by Integrating the Dual Crop Coefficient Approach with Multi-Satellite Imagery

Ramírez-Cuesta

Mirás-Avalos

Rubio-Asensio

et al. 2018

Water

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Advances in information and communication technologies facilitate the application of complex models for optimizing agricultural water management. This paper presents an easy-to-use tool for determining crop water demands using the dual crop coefficient approach and remote sensing imagery. The model was developed using Python as a programming language and integrated into an ArcGIS (geographic information system) toolbox. Inputs consist of images from satellites Landsat 7 and 8, and Sentinel 2A, along with data for defining crop, weather, soil type, and irrigation system. The tool produces a spatial distribution map of the crop evapotranspiration estimates, assuming no water stress, which allows quantifying the water demand and its variability within an agricultural field with a spatial resolution of either 10 m (for Sentinel) or 30 m (for Landsat). The model was validated by comparing the estimated basal crop coefficients (Kcb) of lettuce and peach during an irrigation season with those tabulated as a reference for these crops. Good agreements between Kcb derived from both methods were obtained with a root mean squared error ranging from 0.01 to 0.02 for both crops, although certain underestimations were observed resulting from the uneven crop development in the field (percent bias of −4.74% and −1.80% for lettuce and peach, respectively). The developed tool can be incorporated into commercial decision support systems for irrigation scheduling and other applications that account for the water balance in agro-ecosystems. This tool is freely available upon request to the corresponding author.

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Section: Discussionmentioning

confidence: 99%

A Novel ArcGIS Toolbox for Estimating Crop Water Demands by Integrating the Dual Crop Coefficient Approach with Multi-Satellite Imagery

Ramírez-Cuesta

Mirás-Avalos

Rubio-Asensio

et al. 2018

Water

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“…By running the program, a list of projects, which contain all the required information for a simulation run, is carried out, and results are stored in output files. The plug-in program facilitates the inclusion of AquaCrop in external applications where iterative or large numbers of runs are required (e.g., [43]). The main outputs for the moment are yield prevision and irrigation calendars.…”

Section: Real-time Schedulingmentioning

confidence: 99%

On the Use of Decision-Support Tools for Improved Irrigation Management: AquaCrop-Based Applications

Wellens¹,

Raes²,

Tychon³

2017

Current Perspective on Irrigation and Drainage

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Feeding more people with less water is putting efficient irrigation practices worldwide high on the agendas. As a reaction, over the last decades, numerous irrigation decisionsupport tools have been developed. For several reasons, the gap between farmer and modeler remained in most cases too large. The Food and Agriculture Organization of the United Nations (FAO) contributes to alleviate the encountered adoption limitations with AquaCrop and its stand-alone AquaCrop plug-in. This simple and robust fieldcrop-water balance has been successfully tested for a wide range of crops and regions, and its database is still expanding through worldwide contributions. The present chapter describes how AquaCrop can help irrigation advisory services draft efficient irrigation calendars that are easily applicable and adoptable: either by the elaboration of site-specific irrigation schedule calendars in chart format when the user has no access to the needed data or by the integration of its plug-in in a server/client ICT application offering centralized data management. As for the irrigation charts, studies prove 10-30% water savings, while maintaining yield and requiring minimum data. The server/client application offers an all-in advice tool, including real-time irrigation advice and yield forecasts. No adoption assessments have yet been carried out, but several ongoing pilot studies are promising.

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“…Nevertheless, there is still the need to manually create project input files, requiring lengthy times to scale up AquaCrop applications from a few simulations to multiple runs. Thus, to eliminate the time-consuming task of manually generating AquaCrop input and project files for multirun simulation and to adapt it to be compatible with a GIS platform, Lorite et al (2013) developed two independent tools (AquaData and AquaGIS). AquaData has been imbedded into AquaGIS generating a single package to facilitate file input to data visualization from the AquaCrop simulation.…”

Section: Introductionmentioning

confidence: 99%

Modelling impacts of precision irrigation on crop yield and in-field water management

et al. 2017

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Precision irrigation technologies are being widely promoted to resolve challenges regarding improving crop productivity under conditions of increasing water scarcity. In this paper, the development of an integrated modelling approach involving the coupling of a water application model with a biophysical crop simulation model (Aquacrop) to evaluate the in-field impacts of precision irrigation on crop yield and soil water management is described. The approach allows for a comparison between conventional irrigation management practices against a range of alternate so-called 'precision irrigation' strategies (including variable rate irrigation, VRI). It also provides a valuable framework to evaluate the agronomic (yield), water resource (irrigation use and water efficiency), energy (consumption, costs, footprint) and environmental (nitrate leaching, drainage) impacts under contrasting irrigation management scenarios. The approach offers scope for including feedback loops to help define appropriate irrigation management zones and refine application depths accordingly for scheduling irrigation. The methodology was applied to a case study in eastern England to demonstrate the utility of the framework and the impacts of precision irrigation in a humid climate on a high-value field crop (onions). For the case study, the simulations showed how VRI is a potentially useful approach for irrigation management even in a humid environment to save water and reduce deep percolation losses (drainage). It also helped to increase crop yield due to improved control of soil water in the root zone, especially during a dry season.

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AquaData and AquaGIS: Two computer utilities for temporal and spatial simulations of water-limited yield with AquaCrop

Cited by 64 publications

References 24 publications

A Novel ArcGIS Toolbox for Estimating Crop Water Demands by Integrating the Dual Crop Coefficient Approach with Multi-Satellite Imagery

A Novel ArcGIS Toolbox for Estimating Crop Water Demands by Integrating the Dual Crop Coefficient Approach with Multi-Satellite Imagery

On the Use of Decision-Support Tools for Improved Irrigation Management: AquaCrop-Based Applications

Modelling impacts of precision irrigation on crop yield and in-field water management

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