Supervised binary classification methods for strawberry ripeness discrimination from bioimpedance data

Abstract Strawberry is one of the most popular fruits in the market. To meet the demanding consumer and market quality standards, there is a strong need for an on-site, accurate and reliable grading system during the whole harvesting process. In this work, a total of 923 strawberry fruit were measur...

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Autores principales: Pietro Ibba, Christian Tronstad, Roberto Moscetti, Tanja Mimmo, Giuseppe Cantarella, Luisa Petti, Ørjan G. Martinsen, Stefano Cesco, Paolo Lugli
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/7c67d5a035204cbbac622f15df99398c
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