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.

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

A Data-Driven Decision Support Tool at the service of Energy suppliers and Utilities for Tackling Energy Poverty: A case study in Greece

2021 ◽  
Author(s):  
Apostolos Arsenopoulos ◽  
Elissaios Sarmas ◽  
Andriana Stavrakaki ◽  
Ioanna Giannouli ◽  
John Psarras
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Data Driven ◽  
Energy Poverty ◽  
Support Tool

SOSeas Web App: An assessment web-based decision support tool to predict dynamic risk of drowning on beaches using deep neural networks

2021 ◽  
pp. 1-20
Author(s):  
Javier García-Alba ◽  
Javier F. Bárcena ◽  
Luis Pedraz ◽  
Felipe Fernández ◽  
Andrés García ◽  
...  
Keyword(s):  
Neural Networks ◽  
Decision Support ◽  
Deep Neural Networks ◽  
Decision Support Tool ◽  
Web Based ◽  
Support Tool ◽  
Dynamic Risk ◽  
Web App

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.

Artificial Neural Network Models as a Decision Support Tool for Selection in Sugarcane: A Case Study Using Seedling Populations

Crop Science ◽  
2011 ◽  
Vol 51 (1) ◽  
pp. 21-31 ◽  
Author(s):  
Marvellous M. Zhou ◽  
Collins A. Kimbeng ◽  
Thomas L. Tew ◽  
Kenneth A. Gravois ◽  
Michael J. Pontif
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Decision Support ◽  
Network Models ◽  
Decision Support Tool ◽  
Neural Network Models ◽  
Support Tool ◽  
Artificial Neural ◽  
Artificial Neural Network Models
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