Comprehensive Morphometric Analysis of Apple Fruits and Weighted Class Assignation using Machine Learning

Abstract excerpt

<title>Abstract</title> <p>Fruit morphology description for variety registration or evaluation is mostly based on human visual inspection. However, the development of an objective and efficient method for evaluating apple fruit shape would be of significant value. Furthermore, if this method can provide a comprehensive assessment of the multiple attributes encompassed by the term “shape”, it would have great pote...

Topics

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• Algorithms
• Fragaria
• Fruit
• Genetic Association Studies
• Inheritance Patterns
• Machine Learning
• Models, Theoretical
• Phenotype

Identifiers and source

Literature Corpus work

a5e34cfa-0a61-5538-9b86-8b2701afe03d

DOI

10.21203/rs.3.rs-2860631/v1