The role of decision support systems in integrated crop protection

1997 ◽  
Vol 64 (2) ◽  
pp. 157-163 ◽  
Author(s):  
J.D. Knight
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Crop Protection ◽  
Integrated Crop Protection

Decision Support Systems in Crop Protection

1994 ◽  
Vol 23 (4) ◽  
pp. 281-285 ◽  
Author(s):  
Jonathan D. Knight ◽  
John D. Mumford
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Crop Protection ◽  
Expert Advice ◽  
Management Decision ◽  
Sufficient Information ◽  
Record Keeping ◽  
Pests And Diseases ◽  
The Right

All farmers and growers have at some time faced the decision of whether to control a pest in their crop. In order to make the correct decision the farmer needs access to, and an understanding of, sufficient information relevant to such pest problems. Decision support systems are able to help farmers make these difficult decisions by providing information in an easily understandable and quickly accessed form. The increasing use of computers by farmers for record-keeping and business management is putting the hardware necessary for the implementation of these systems onto more and more farms. The scarcity of expert advice, increasingly complex decisions and reduced economic margins all increase the importance of making the right pest management decision at the right time. It is against this background that decision support systems have an important role to play in the fight against losses caused by pests and diseases.

Water Governance Tools: The Role of Science and Decision Support Systems in Participatory Management

2014 ◽  
pp. 241-259 ◽  
Author(s):  
Aleix Serrat-Capdevila ◽  
Juan B. Valdés ◽  
Hoshin V. Gupta ◽  
Graciela Schneier-Madanes
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Water Governance ◽  
Participatory Management ◽  
Governance Tools

Group Decision Support Systems

2009 ◽  
pp. 82-89
Author(s):  
John Wang ◽  
James Yao
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Decision Support ◽  
Decision Support Systems ◽  
Group Decision ◽  
Support Systems ◽  
Group Support Systems ◽  
Group Decision Support ◽  
Group Decision Support Systems

Group decision support systems (GDSSs) which aim at increasing some of the benefits of collaboration and reducing the inherent losses are interactive information technology-based environments that support concerted and coordinated group efforts toward completion of joint tasks (Dennis, George, Jessup, Nunamaker, & Vogel, 1998). The term group support systems (GSSs) was coined at the start of the 1990’s to replace the term GDSS. The reason for this is that the role of collaborative computing was expanded to more than just supporting decision making (Patrick & Garrick, 2006). For the avoidance of any ambiguities, the latter term shall be used in the discussion throughout this paper

Evolution of the Role of Measurement Systems in Industrial Decision Support

2016 ◽  
pp. 560-580 ◽  
Author(s):  
Miroslaw Staron ◽  
Wilhelm Meding ◽  
Kent Niesel ◽  
Ola Söder
Keyword(s):  
Decision Support ◽  
Data Collection ◽  
Decision Support Systems ◽  
Information Needs ◽  
Support Systems ◽  
Measurement Data ◽  
Automated Measurement ◽  
Measurement Systems ◽  
Distributed Decision

Measurement data can be used for decision support in multiple ways – from one-time, manual data collection/presentation (reporting) through flexible business intelligence solutions to online, automated measurement systems. In centralized organizations, the measurement data is often collected through reporting, but the trends in modern organizations with empowered teams, globalized development, and needs to monitor continuously longer supply chains requires shift in the design and use of measurement systems. In this chapter, we present a study of evolving measurement systems at three companies with global businesses – Ericsson, Volvo Cars, and Axis Communications. The results of the study include the identification of the timeline of the evolution, distinct generations of measurement systems and information needs in the different phases of the evolution. The experiences show how to evolve centralized decision support systems to support global and distributed decision support.

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