By J. W. Jones, P. K. Thornton, J. W. Hansen (auth.), P. S. Teng, M. J. Kropff, H. F. M. ten Berge, J. B. Dent, F. P. Lansigan, H. H. van Laar (eds.)
Systems ways for agricultural improvement are had to be sure rational suggestions for the position of agriculture in nationwide improvement. Mathematical versions and laptop simulation supply aim instruments for utilising technology to figure out and overview techniques for source administration at box, farm and nearby scales. even if, those instruments wouldn't be absolutely utilizable with no incorporating social and monetary dimensions into their program. the second one foreign symposium, Systems methods for AgriculturalDevelopment, held in Los Baños, 6-8 December 1995, fostered this hyperlink among the bio-physical sciences and the social sciences within the collection of keynote papers and oral shows, a range of that's incorporated during this e-book. The book's contents extra replicate how structures methods have certainly moved past the learn mode into the applying mode. the massive quantity and prime quality of interdisciplinary study tasks mentioned from various components of the globe, to figure out land use concepts that may meet a number of objectives and but maintain typical source bases, is a key indicator of this `coming of age'. on the farm point, the place trade-off judgements among tactics and items (commodities) characteristic strongly, a lot growth is usually obtrusive within the improvement of systems-based instruments for choice making. This booklet might be of specific curiosity to all agricultural scientists and planners, in addition to scholars drawn to multidisciplinary and holistic ways for agricultural development.
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Extra info for Applications of Systems Approaches at the Farm and Regional Levels Volume 1: Proceedings of the Second International Symposium on Systems Approaches for Agricultural Development, held at IRRI, Los Banos, Philippines, 6–8 December 1995
1988; Coulson et al. 1991). Expert systems have been used less to decide which crops to grow. Nevo et al. (1994) list characteristics of the crop selection process which favour the use of an expert system, and address the limitation of MCO. The crop selection problem is sufficiently complex to require experts, and has a major cognitive component. Crop decisions require reasoning with uncertain or incomplete data, have to be made under conditions of risk such as crop or market failure and are often based on heuristics.
Lightfoot C (1990) Integration of aquaculture and agriculture: A route to sustainable farming systems. Naga, International Center for Living Aquatic Resources Management, ICLARM Q. 13(1):9-12. Lightfoot C, Noble R (1993) A participatory experiment in sustainable agriculture. J. Farming Syst. Res. Ext. 4(1):11-13. Lightfoot C, Noble R, Morales R (1991) Training resource book on a participatory method for modelling bioresource flows. International Center for Living Aquatic Resources Management, Manila, Philippines.
1986; Boster and Johnson 1989) can identify the experts. Knowledge of one expert has to be tested against knowledge of other experts with the same management style to make it represent communal knowledge, for instance using focus groups (Krueger 1988). Consensus theory may be interesting for the artificial intelligence discipline in its exploration of expert systems with multiple experts (Liou 1992). What is interesting about the application described in this paper is that it simulates multiple experts, working in the same domain - farmers in one interest group - as well as multiple experts in different domains - spatially different areas and different interest groups (Dieng et al.