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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Published in | Applied engineering in agriculture Vol. 7 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
1991
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Subjects | |
Online Access | Get more information |
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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. |
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Bibliography: | L L02 |
ISSN: | 0883-8542 1943-7838 |
DOI: | 10.13031/2013.26221 |