Pomegranate seed clustering by machine vision

Abstract

Application of new procedures for reliable and fast recognition and classification of seeds in the agricultural industry is very important. Recent advances in computer image analysis made applicable the approach of automated quantitative analysis in order to group cultivars according to minor differences in seed traits that would be indiscernible in ocular… (More)
DOI: 10.1002/fsn3.475

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