Predicting apple bruising relationships using machine learning

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Title

Predicting apple bruising relationships using machine learning

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

Many models have been used to describe the influence of internal or external factors on apple bruising. Few of these have addressed the application of derived relationships to the evaluation of commercial operations. From an industry perspective, a model must enable fruit to be rejected on the basis of a commercially significant bruise and must also accurately quantify the effects of various combinations of input features (such as cultivar, maturity, size, and so on) on bruise prediction. Inp...

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Format

Research paper

Research format

Working or discussion paper

Date created

1998-04

Creator

Holmes, Geoffrey / Cunningham, Sally Jo / Dela Rue, B. T. / Bollen, A. F.

URL

https://hdl.handle.net/10289/1052

Related subjects

computer science / Machine learning

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