Decision Support Systems in Agriculture: Some Successes and a Bright Future - Efficient Decision Support Systems: Practice and Challenges from Current to Future - page 317

adaptation by farmers of upland cropping systems in the province of Isabela, The
Philippines. There acid soils abound but techniques of acid soil management were not to be
found. The results of the capture of both the experiential and scientific knowledge led to the
identification of patterns and structures in the knowledge. Four components of nutrient
management decision-making were identified and proved to be helpful in understanding,
predicting, and controlling the management of nutrients in tropical soils. These included the
Diagnosis, Prediction, Economic Analysis, and Recommendation components of nutrient
management decision-making. Numerous gaps in both knowledge representation,
knowledge organization, and in the use of decision-aids to support and transform teaching
and learning remain. Nonetheless, it seems the potential of information technology is yet to
be understood and certainly not realized.
7. Appendix 1
Example synthesis and inference of guiding decision-trees of agricultural information
(Robotham, 1998).
Appendix Figure 1(Robotham, 1998, Figure 6.1).