Plant parameter database for erosion prediction models

Recently developed erosion prediction models require detailed input parameters including those describing cropping systems. Each model requires a different level of detail for crop growth modeling, and most plant parameters for these models are not readily found. Many parameters require interpretati...

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Bibliographic Details
Published inApplied engineering in agriculture Vol. 11; no. 5
Main Authors Deer-Ascough, L.A. (USDA, ARS, Great Plains Systems Research Unit, Fort Collins, CO.), Weesies, G.A, Ascough, J.C. II, Laflen, J.M
Format Journal Article
LanguageEnglish
Published 01.01.1995
Subjects
ALMACENAMIENTO DE INFORMACION
BANQUE DE DONNEES
BASES DE DATOS
CULTIVOS
EROSION
MODELE DE SIMULATION
MODELOS DE SIMULACION
PLANTE DE CULTURE
STOCKAGE DE L'INFORMATION
TECHNIQUE DE PREVISION
TECNICAS DE PREDICCION
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Summary:Recently developed erosion prediction models require detailed input parameters including those describing cropping systems. Each model requires a different level of detail for crop growth modeling, and most plant parameters for these models are not readily found. Many parameters require interpretation from other measurable plant characteristics. In order to supply the users of these new erosion prediction technologies with required parameters, a database containing measurable plant characteristics was developed. The two erosion prediction models that the database currently supports are the USDA Revised Universal Soil Loss Equation (RUSLE) and the USDA Water Erosion Prediction Project (WEPP). A Microsoft Windows-based program, the Crop Parameter Intelligent Database System (CPIDS), was developed to assist crop database builders and users of RUSLE and WEPP in interpretation of plant characteristics and selection of plant parameters
Bibliography:U10
P36
9600119
ISSN:0883-8542
1943-7838
DOI:10.13031/2013.25789