scholarly journals FARMs: A Geospatial Crop Modeling and Agricultural Water Management System

2021 ◽  
Vol 10 (8) ◽  
pp. 553
Author(s):  
Jae Sung Kim ◽  
Isaya Kisekka
Keyword(s):  
Decision Support ◽  
Open Source ◽  
Management System ◽  
Decision Support Tool ◽  
Global Scale ◽  
Complex Model ◽  
Crop Modeling ◽  
Web Based ◽  
Support Tool ◽  
Gis Technologies

To ensure agricultural sustainability and desirable environmental outcomes, stakeholders need systems-based model-driven decision support tools. The objective of this study was to develop a global scale web-based geospatial crop modeling application called Food, Agriculture, and Resource Management system (FARMs), to simplify the application of the crop simulation model —Decision Support System for Agrotechnology Transfer (DSSAT) without requiring users to create input weather, climate, and soil files. FARMs was built based on open source Geographic Information System (GIS) technologies and DSSAT to allow for adaptive management through its ability to perform in-season yield predictions for alfalfa and maize, currently. Validation of FARMs against variety trial data in California was acceptable between measured and simulated yields for alfalfa. The work done in this study showed how a complex model like DSSAT can be translated into a useable web-based decision support tool for near-real-time simulation with the help of open-source GIS technologies.

scholarly journals Challenges involved in establishing a web-based clinical decision support tool in community health centers

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 100488
Author(s):  
Rachel Gold ◽  
Mary Middendorf ◽  
John Heintzman ◽  
Joan Nelson ◽  
Patrick O'Connor ◽  
...  
Keyword(s):  
Decision Support ◽  
Community Health ◽  
Clinical Decision Support ◽  
Community Health Centers ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Health Centers ◽  
Web Based ◽  
Support Tool ◽  
Clinical Decision Support Tool

scholarly journals A web-based decision support tool for groundwater remediation technologies selection

2006 ◽  
Vol 8 (2) ◽  
pp. 91-100 ◽  
Author(s):  
Olfa Khelifi ◽  
Andrea Lodolo ◽  
Sanja Vranes ◽  
Gabriele Centi ◽  
Stanislav Miertus
Keyword(s):  
Decision Support ◽  
Groundwater Remediation ◽  
Local Community ◽  
Decision Support Tool ◽  
Decision Makers ◽  
Relative Importance ◽  
Problem Complexity ◽  
Web Based ◽  
Support Tool ◽  
Promethee Ii

Groundwater remediation operation involves several considerations in terms of environmental, technological and socio-economic aspects. A decision support tool (DST) becomes therefore necessary in order to manage problem complexity and to define effective groundwater remediation interventions. CCR (Credence Clearwater Revival), a decision support tool for groundwater remediation technologies assessment and selection, has been developed to help decision-makers (site owners, investors, local community representatives, environmentalists, regulators, etc.) to assess the available technologies and select the preferred remedial options. The analysis is based on technical, economical, environmental and social criteria. These criteria are ranked by all involved parties to determine their relative importance for a particular groundwater remediation project. The Multi-Criteria Decision Making (MCDM) is the core of the CCR using the PROMETHEE II algorithm.

scholarly journals GeoFIS: An Open Source, Decision-Support Tool for Precision Agriculture Data

Agriculture ◽  
2018 ◽  
Vol 8 (6) ◽  
pp. 73 ◽  
Author(s):  
Corentin Leroux ◽  
Hazaël Jones ◽  
Léo Pichon ◽  
Serge Guillaume ◽  
Julien Lamour ◽  
...  
Keyword(s):  
Decision Support ◽  
Open Source ◽  
Precision Agriculture ◽  
Decision Support Tool ◽  
Support Tool

A Web-based GIS Decision Support Tool for Determining Corn Aflatoxin Risk: A Case Study Data from Southern Georgia, USA

2017 ◽  
Vol 8 (2) ◽  
pp. 718-723 ◽  
Author(s):  
F. Navarro ◽  
B. Ingram ◽  
R. Kerry ◽  
B. V. Ortiz ◽  
B. T. Scully
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Study Data ◽  
Corn Production ◽  
Web Based ◽  
Support Tool ◽  
Risk Areas ◽  
Southern Georgia ◽  
Case Study Data

Aflatoxin is a fungal toxin contaminating corn and causing liver cancer in humans and animals. Contamination is driven by high temperatures and drought. Aflatoxin assessment is expensive so extension services need to identify high risk areas so irrigation, planting strategies and corn varieties can be adapted. This research presents a web-based decision support tool for risk illustrated with a case study from southern Georgia. The tool employs the approach, developed by Kerry et al. (2017b) where exceedance of key thresholds in temperatures, rainfall, soil type and corn production are used to determine risk. The tool also includes NDVI to indicate drought stress and could be further expanded to include new risk factors and adapted to other crops.

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