Fuzzy prediction of maize breakage

Q. Zhang, J. B. Litchfield, J. Bentsman

Research output: Contribution to journalArticlepeer-review

Abstract

Fuzzy sets theory allows uncertain phenomena to be treated mathematically. A fuzzy predictive model was developed to predict the breakage susceptibility of dried maize based on measurable process variables. The model is based on data acquired from nine experiments in a laboratory crossflow dryer with various initial maize moisture contents and drying temperatures. A 2-h verification experiment showed that 28 of the 36 predictions matched measured values of breakage susceptibility. The model can be used to predict maize breakage during drying.

Original languageEnglish (US)
Pages (from-to)77-90
Number of pages14
JournalJournal of Agricultural Engineering Research
Volume52
Issue numberC
DOIs
StatePublished - Jan 1 1992

ASJC Scopus subject areas

  • Aquatic Science

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