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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
28/10/1997 |
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Data da última atualização: |
09/01/2012 |
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Autoria: |
DEER-ASCOUGH, L. A.; WEESIES, G. A.; ASCOUGH II, J. C.; STOTT, D. E.; LAFLEN, J. M. |
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Título: |
Plant database development and linkage with a knowledge-based system for use in erosion prediction models. |
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Ano de publicação: |
1993 |
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Fonte/Imprenta: |
In: HEATWOLE, C. D. (Ed.). Application of advanced information technologies: effective management of natural resources. St. Joseph, MI: ASAE, 1993. |
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Páginas: |
p. 409-417. |
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Idioma: |
Inglês |
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Conteúdo: |
A plant database was constructed using information collected from United States Department of Agriculture-Soil Conservation Service (USDA-SCS) Special Project Studies, review of crop literature, and crop surveys sent to agronomists and horticultural specialists. Crop specific information includes parameters describing plant growth, rooting, and residue decomposition characteristics. The database was developed using the dBase III PlusTM² and linked a knowledge-based system. The knowledge-based system provides necessary vegetable crop parameters for use in erosion prediction models such as the Water Erosion Prediction Project (WEPP) and the Revised Universal Soil Loss Equation (RUSLE), and was developed using Microsoft Visual Basic for WindowsTM². Target system users are state or regional agronomists preparing cropping and management input values for local SCS offices to use in erosion prediction models. Users are presented with menus for selection of model dependent crop, climatic zone, and erosion prediction parameters. "Best" values are presented for a particular user's case (i.e., cropping scenario) either by displaying parameters contained within the database or determining parameters using "expert rules" when specific crop information is unavailable. Development of the knowledge-based system expands potential use of models such as WEPP and RUSLE into previously unavailable cropping situations and provides erosion prediction results more indicative of the actual field cropping system. MenosA plant database was constructed using information collected from United States Department of Agriculture-Soil Conservation Service (USDA-SCS) Special Project Studies, review of crop literature, and crop surveys sent to agronomists and horticultural specialists. Crop specific information includes parameters describing plant growth, rooting, and residue decomposition characteristics. The database was developed using the dBase III PlusTM² and linked a knowledge-based system. The knowledge-based system provides necessary vegetable crop parameters for use in erosion prediction models such as the Water Erosion Prediction Project (WEPP) and the Revised Universal Soil Loss Equation (RUSLE), and was developed using Microsoft Visual Basic for WindowsTM². Target system users are state or regional agronomists preparing cropping and management input values for local SCS offices to use in erosion prediction models. Users are presented with menus for selection of model dependent crop, climatic zone, and erosion prediction parameters. "Best" values are presented for a particular user's case (i.e., cropping scenario) either by displaying parameters contained within the database or determining parameters using "expert rules" when specific crop information is unavailable. Development of the knowledge-based system expands potential use of models such as WEPP and RUSLE into previously unavailable cropping situations and provides erosion prediction results more indicative of the actual field cro... Mostrar Tudo |
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Palavras-Chave: |
Cultivos; Modelagem; Modeling. |
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Thesaurus Nal: |
Crops; legumes; Vegetables. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02298naa a2200253 a 4500
001 1005105
005 2012-01-09
008 1993 bl uuuu u00u1 u #d
100 1 $aDEER-ASCOUGH, L. A.
245 $aPlant database development and linkage with a knowledge-based system for use in erosion prediction models.
260 $c1993
300 $ap. 409-417.
520 $aA plant database was constructed using information collected from United States Department of Agriculture-Soil Conservation Service (USDA-SCS) Special Project Studies, review of crop literature, and crop surveys sent to agronomists and horticultural specialists. Crop specific information includes parameters describing plant growth, rooting, and residue decomposition characteristics. The database was developed using the dBase III PlusTM² and linked a knowledge-based system. The knowledge-based system provides necessary vegetable crop parameters for use in erosion prediction models such as the Water Erosion Prediction Project (WEPP) and the Revised Universal Soil Loss Equation (RUSLE), and was developed using Microsoft Visual Basic for WindowsTM². Target system users are state or regional agronomists preparing cropping and management input values for local SCS offices to use in erosion prediction models. Users are presented with menus for selection of model dependent crop, climatic zone, and erosion prediction parameters. "Best" values are presented for a particular user's case (i.e., cropping scenario) either by displaying parameters contained within the database or determining parameters using "expert rules" when specific crop information is unavailable. Development of the knowledge-based system expands potential use of models such as WEPP and RUSLE into previously unavailable cropping situations and provides erosion prediction results more indicative of the actual field cropping system.
650 $aCrops
650 $alegumes
650 $aVegetables
653 $aCultivos
653 $aModelagem
653 $aModeling
700 1 $aWEESIES, G. A.
700 1 $aASCOUGH II, J. C.
700 1 $aSTOTT, D. E.
700 1 $aLAFLEN, J. M.
773 $tIn: HEATWOLE, C. D. (Ed.). Application of advanced information technologies: effective management of natural resources. St. Joseph, MI: ASAE, 1993.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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