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https://nifa.usda.gov/decision-support-systems-dss
Collecting data from one sensor, or many sensors, is only the first step in the overall decision-making process, which might be inspection, monitoring, tracking, etc. Often, many other components, such as databases, simulation models, and mathematical optimization, must be combined to form a fully developed decision support system (DSS).
https://en.wikipedia.org/wiki/Decision_support
A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management, operations and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in ...
https://acronyms.thefreedictionary.com/National+Agricultural+Decision+Support+System
National Agricultural Decision Support System listed as NADSS. National Agricultural Decision Support System - How is National Agricultural Decision Support System abbreviated? ... Natural Attenuation Decision Support System: NADSS: North American Division of the Schopenhauer Society ... National Agricultural Decision Support System; National ...
https://www.researchgate.net/publication/221585227_Demonstration_of_the_National_Agricultural_Decision_Support_System
The National Agricultural Decision Support System (NADSS) is a web based geospatial decision support system used to aid producers and decision makers in analyzing and effectively mitigating the ...
http://greenleaf.unl.edu/downloads/scPDSI_Manual.pdf
PDSI that was received from the National Climatic Data Center (NCDC). The program was translated to C++ and several modifications were made, including making the index Self-Calibrating. This PDSI program is capable of calculating the Original Monthly PDSI, the Self-Calibrating Monthly and Weekly PDSI, as well as the Weekly Crop Moisture Index ...
http://agroclimate.org/projects/usda-nass-decision-support-system-dss/
Assessing Agricultural Climate Resilience: Creating a Decision Support System at the National Agricultural Statistics Service. Improving crop yield forecast is the subject of continual study in the United States Department of Agriculture’s National Agricultural Statistics Service (USDA-NASS).
https://www.sciencedirect.com/science/article/pii/S0168169903000024
The nutrient component of the groundwater loading effects of agricultural management systems (GLEAMS) model was incorporated into the original national agricultural pesticide risk analysis (NAPRA) WWW system to create a nutrient loss decision support system to evaluate the effects of agricultural management systems on surface and subsurface nutrient water quality.Cited by: 24
https://www.nap.edu/read/10455/chapter/9
The previous chapters discuss the importance of compiling fundamental data and their integration within spatial data infrastructures. This is a necessary first step toward informed decision-making, for without accurate, reliable, and interdisciplinary data from a variety of sources it will be difficult to evaluate the many facets of sustainable development ().
https://www.nap.edu/read/11880/chapter/17
A reoccurring theme in the discussion of agriculture and food production in the coming century is sustainable development. This depends on integrated natural resource management with simultaneous optimization of agro-eco-production systems on economic, environmental, and social terms. Informatics ...
https://www.smart-fertilizer.com/articles/decision-support-systems
Agricultural decision support systems can incorporate inputs on climate, water, genetic, energy, landscape, human, and economic resources, and ideally provide an analysis of how these factors work together in influencing productivity. There are a number of systems on the market today.
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