Hybrid expert system for beef-forage grazing management

A beef-forage grazing model was developed to assist livestock producers with pasture grazing management decisions. A rule-based (expert) system predicts bi-weekly pasture yield based on pasture species, location, soil type, fertilization level, precipitation and grazing management. A database manage...

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Bibliographic Details
Published inApplied engineering in agriculture Vol. 7
Main Authors Tao Y, Thompson T.L, Moser L.E, Waller S.S, Klopfenstein T.J, Ward J.K, Wilkerson V.A
Format Journal Article
LanguageEnglish
Published 1991
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Summary:A beef-forage grazing model was developed to assist livestock producers with pasture grazing management decisions. A rule-based (expert) system predicts bi-weekly pasture yield based on pasture species, location, soil type, fertilization level, precipitation and grazing management. A database management system was used to generate a year-around animal inventory and estimate forage demands. A simulation model was interfaced with the rule-based and database systems to balance pasture supplies and animal demands. Management recommendations provided by the grazing model include proper pasture size, stocking rate, earliest grazing date, and animal nutrition for a specified single-pasture grazing schedule.
Bibliography:L
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ISSN:0883-8542
1943-7838
DOI:10.13031/2013.26221