1993 Fiscal Year Final Research Report Summary
DEVELOPMENT OF FREDIAGNOSTIC INFORMATION PROCESSING METHODS FOR FARM MANAGEMENT.
| Project/Area Number |
04660232
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
Agro-economics
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| Research Institution | OBIHIRO UNIVERSITY OF AGRICULTURE AND VETERINARY MEDICINE |
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Principal Investigator |
KUBO Yoshiharu Obihiro University of Agr.and Vet.Med., Dept.of Ani.Prod.and Agr'l Econ., Professor, 畜産学部, 教授 (40003074)
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| Co-Investigator(Kenkyū-buntansha) |
YAMAMOTO Yasutaka Obihiro University of Agr.and Vet.Med., Dept.of Ani.Prod.and Agr'l Econ., Assist, 畜産学部, 講師 (90191452)
HIGUCHI Akinori Obihiro University of Agr.and Vet.Med., Dept.of Ani.Prod.and Agr'l Econ., Associ, 畜産学部, 助教授 (40250534)
NAGAKI Masakazu Totori University, Fac.of Agr. Dept.of Agricultural Science, Professor, 農学部, 教授 (90003144)
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| Project Period (FY) |
1992 – 1993
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| Keywords | Farm management game / Monte Carlo simulation / Data envelopment analyis / Technical efficiency / Fussy linear programming / Fussy linear regression |
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| Research Abstract |
1. Farm management game which is appropriated to a mixed farming consisting of field crops and dairy business is develped as an approach to prediagnostic system for farm management. Data of crop yield distribution for last 20 years are provided for information with unceratin yield conditions and various types of Monte Carlo simulation techniques are applied to this simulator. Stochastic technique generates milk yield for each cow. Experimental application explains it usefull. 2. As mathematical programming methods with fussy constraints can be used to prediagnostic analysis of farm business, we applied this method to an analysis of field crops farm with fussy technical and goal constraints. We find that the fussy linear programming models conveys various usefull information for improving farm business in advance. 3. The data envelopment analysis reduces production (or cost) frontier whic envelopes a set of data and then measures technical efficiency of individual farm comparing with respective frontier position, is also an useful method for diagnosis of farm business. Therefore concepts for measuring technical efficiency and problemes in regards to measuring methods are investigated. Concrete measurement of technical efficiency approaching to data on roughage production on dairy farmming in Hokkaido explains this approach useful and we could find that there is a slight difference in technical efficiencys between different measuring methods. 4. It is the most important job to estimate goal yield responding to predetermined level of inputs in order to obtain necessary information for prediagnosis. Regarding to this, a linear regression analysis with fussy constraints is proposed and theoretically investigated. Main findings are, firstly linear programming method is applicable to estimate parameters of fussy regression, and secondly, this approach conveys useful yield estimate because manager's subjective idea can be introduced interactively on the process of determin
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