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tiffany dong

on 19 April 2010

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Transcript of Agriculture

Double click anywhere & add an idea Introduction Identification Analysis&Design DSS Architecture SWOT Analysis Conclusion Main phases in the agriculture sector Pest Management DSS SowYee Pook-S2709786
Ge Dong(Tiffany)-S2703932
Po-An Lin(Bryan)-S2596998
DSS (Decision Support System) is a suitable system to help the agricultural sectors.
Computerize systems that contain with models and database
DSS had been a necessary background in the area of agricultural
DSS and agricultural has inseparable relationship
Introduction Identification Agricultural information system - possible complex situations
For example: weathers, pests, fertilizers, water, price.
DSS (Decision Support System):
-Allowing the decision maker to operate
-Retrieve useful information
-Semi structured and Unstructured decision-making.
Features will be include:
-Non-technical people to deal with the problem directly
-Information can not be restricted
-Not a “System” in the strict sense, but a highly adaptive
decision support generator
Summary Introduction
DSS Architecture
SWOT Analysis
Reference SWOT Analysis Strengths
Threats Strengths Weaknesses Opportunities Threats DSSs bridge the gap between science-based
technology and end-users
Web-based DSSs can deliver services quickly,
reliably and effectively.
eg: Pest Management DSS
Most of DSSs take less notice of farmers’ involvement
Some DSSs are too complicated for users due to their complex structures. World Wide Web as the most rapidly growing media
provides a cost-effective tools.
DSSs enhance the knowledge of farm advisors or
managers and improve the value of information
they provide to farmers. According to market need, agricultural
DSSs are not a great business model.
Few investment Analysis and Design(Cons) Pest is one of the global threats to the crop production
Causes damage and delay the growth of the crops
Regional manager needs make decision on selecting an efficient and effective pesticide
Quality data and information are needed
Analysis and Design Most of the medium and large agribusiness are run
by semistructure
Strategical Level
-Head office manager
Tactical Level
-Regional managers
Operational level
-Pest control advisors
-Farmers (labours)
DSS Architecture Pest Management DSS is a Compound DSS
-Model-Drive DSS
Data such as pest species data, pest attack historical data,
types of pesticides data, and crops data
Target users are regional managers and pest control advisors
Microsoft Assess, Oracle, Visual Basic, and Internet Browser
e.g. Mozilla Firefox
Identification (Cons) Features will be include:
-High degree of adaptive capacity to be able to provide
-access to operational data and summary data
-Information can be choose to show on the screen
-UI (User Interface) on different platforms
-Word processing supported
In Used DSS Examples:
-Watermap DSS
Reference Devi, U. (2009). Role of Decision Support System for Decision-Making Process in Global Business Environmen, Retrieved from http://ezinearticles.com/?Role-of-Decision-Support-System-For-Decision-Making-Process-in-Global-Business-Environment&id=2315787
Longstaff, B. (1996). Decision tools for grain storage pest management. Journal of Stored Products Research, 33(2), 99-114. Retrieved from http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6T8Y-3RGT8W6-1-1&_cdi=5099&_user=79777&_pii=S0022474X96000343&_orig=search&_coverDate=04%2F30%2F1997&_sk=999669997&view=c&wchp=dGLbVlz-zSkzV&md5=9ab03918f6e22a5aa0b45af763f46218&ie=/sdarticle.pdf
Manos, B., Papathanasiou, J., Bournaris, T., Voudouris, K. (2009). A DSS for sustainable development and environmental protection of agricultural regions. Environmental Monitoring and Assessment, 164(4), 43-52. Retrieved from http://www.springerlink.com/content/rn77064h27162357/fulltext.pdf
Maredia, K., Dakouo, D& Mota-Sanchez,D.(2003).Integrated pest management in the global arena. Retrieved from http://books.google.com.au/books?id=tMRtkcTWA1QC&pg=PP1&dq=Integrated+pest+management+in+the+global+arena&cd=1#v=onepage&q&f=false
Nguyen, N., Wegener, M., & Russell, I. (2006). Decision support systems in Australian agriculture: state of the art and future development. Retrieved from http://espace.library.uq.edu.au/eserv/UQ:134677/Nguyen_et_al._26th_IAAE_Conference.pdf
Ninomiya, S., Laurenson, M., & Kiura, T. (2004). Network Computing for Agricultural Information Systems: GRID for Agricultural Decision Support. Retrieved from http://zoushoku.narc.affrc.go.jp/ADR/AFITA/afita/afita-conf/2002/part0/p026.pdf
Turban, E., Aronson, J., Liang, T., & Sharda, R. (2007). Decision Support and Business Intelligence Systems (8th ed.). United States of America: Pearson Education International.
Wainhouse, D. (2005). Ecological methods in forest pest management [CEIRC GoogleBook Version]. Retrieved from http://books.google.com.au/books?id=6OayTzlUKS4C&printsec=frontcover#v=onepage&q&f=false
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