362751

Decision Support System for Agricultural Resources Management

Second Semester 2007



Prerequisite:

Course objectives: y the end of the course, what knowledge (principles and practices), skills, and experiences will each student have gained: - Understand the principles and concepts of EDP, MIS, and DSS. - Be clear about the distinction between a DSS and a DSS development tools. - Use the existing crop simulation models to study the behavior and performances of agricultural systems. - Understand and use the DSS tools to assist decision-making using stochastic dominance and mean - variance techniques and “what-if” questions in land use planning activities. - Be prepared for independent, critical study and assessment of publications about DSS


Course Description: The roles and functions of Decision Support System (DSS) technology in agricultural systems research and development. The development of EDP, MIS, DSS technologied in relation to their applications in agricultural systems management. The uses of computer modeling as a representative of the underlying processes such as soil water dynamics, plant growth and development, and environmental impacts on crop yield. The use of crop/animal/watershed simulators as a tool for agricultural technology transfer, extrapolation, and resources management. Decision support System (DSS) Technology and land use planning techniques. The development of the Electronic Data Processing (EDP), databases for resource management, risk and decision making analysis.

Instructor:  Assoc. Prof. Dr. Attachai Jintrawet (attachai@chiangmai.ac.th)

Class meeting:  Lecture: 08:00-09:00am (Monday & Thursday) (MCC Room 4) 

Practicum: .

Course schedule:
 

Week
Lectures
Lab Assignments
File Attach
1

Introduction (Ags-ICT-DSS)
20061113-Introduciton.pdf and Shim et al.(2002). Decision Support Systems 33:222-126

     
2
 DSS Overview
http://en.wikipedia.org/wiki/Decision_support_systems 		 

1. DSSAT Installation
2. Running a Crop Model and Sensitivity Analysis In DSSAT Version 4.0

   
3

DBMS

 3. Rice model & MDS Weather data
   
4

DBMS

 4. Rice model & MDS Soil & crop management data
   
5

DBMS

 5. Rice modell & MDS Crop genetic data    
6

MBMS

 6. Rice model    
7

MBMS

 7. Rice model    
8
Mid-term
9

MBMS

     
10

MBMS

     
11
 UIMS: Standalone
  8. ChangwatDSS-Rice    
12
 UIMS: Standalone
  9. ChangwatDSS-Ric    
13
 UIMS: Standalone
  10. ChangwatDSS-Ric    
14
 DSS Integration into organization      
15

Trends and Conclusion

     
 
Final Exam


Recommended  Books:

Jintrawet, A. 1991. A Decision support system for rapid appraisal of rice-based agricultural
innovations. Call# Th 633.187 A883D MainLib

Sage, A.P. 1991. Decision support systems engineering. New York: J. Wiley. call# 658.403 S129D eng.

Sprague, R.H. 1993. Decision support systems: Putting theory into practice. Englewood Cliffs, N.J. Prentice Hall call# 658.403 D294 Science Lib

Sprague, R.H., Jr., E.D. Carlson 1982. Building Effective Decision support systems. Englewood Cliffs, N.J. Prentice Hall call# 658.4032854 S766B Main Lib

 

References:  
 

Hoogenboom, G., P. W. Wilkens, and G.Y. Tsuji (eds.). 1999. DSSAT v3. Volume 4. University of Hawaii, Honolulu, Hawaii. USA.

Jintrawet, A., 2006. Decision Support Systems for Agricultural Resources Management. Lecture and computer laboratory notes. Soil Science & Conservation Department, Chiang Mai Univ., Chiang Mai, Thailand. 32 pp

Sage, A.P. 1991. Decision Support Systems Engineering. New York: John Wiley. Call#: 658.403 S129

Sprague, R.H., and E.D. Carlson. 1982. Building effective decision support systems. Prentice-Hall, Inc., Englewood Cliffs, New Jersey 0732, USA.

Tsuji, G.Y., G. Hoogenboom, P.K. Thornton. 1998. Understanding options for agricultural production. Kluwer Academic Pub.

Tsuji, G.Y., G. Uehara, and S. Bales (eds.). 1994. DSSAT v3. Volume 1-3. University of Hawaii, Honolulu, Hawaii. USA.

Turban, E. 1993. Decision Support and Expert Systems: Management Support Systems. 3 rd edition. Macmillan Pub., Co., New York, USA., 833 pp.

Reading Assignments:  
 

Cox, P.G. 1996. Some Issues in the Design of Agricultural Decision Support Systems. Agricultural Systems 52: 355-381.

Nix, H. 1984. Minimum Data Sets for Agrotechnology Transfer. Proceedings of the International Symposium on Minimum Data Sets for Agrotechnology Transfer, 21-26 March 1983, ICRISAT, India, Patancheru, A.P. 502 324, India.

Shim, J.P., M. Warkentin, J.F. Courtney, D.J. Power, R. Sharda, C. Carlsson, 2002. Past, present, and future of decision support technology. Decision Support Systems. 33: 111-126.

Course Evaluation:

            An individual will be evaluated based on mid-term and final examinations and laboratory reports. Grading: A > 90%, B+ = 89-85, B = 84-80, C+ = 79-75, C = 74-70 Lab reports: (5% each) Midterm December 18 (Mo) – 24 (Su), 2006 (20-25%) Final February 13 (Tu) – 25 (Su), 2007 (20-25%)

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