Determining Philippine coconut maturity level using machine learning algorithms based on acoustic signal

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dc.contributor.authorJune Anne Caladcad
dc.contributor.authorShiela Cabahug
dc.contributor.authorMary Rose Catamco
dc.contributor.authorPaul Elyson Villaceran
dc.contributor.authorLeizel Casgafa
dc.contributor.authorKarl Norbert Cabizares
dc.contributor.authorMarfe Hermosilla
dc.contributor.authorEduardo Jr. Piedad
dc.date.accessioned2020-07-06T10:03:07Z
dc.date.available2020-07-06T10:03:07Z
dc.date.issued2020
dc.identifier.citationComputer and Electronics in Agriculture 172(2020) 105327en_US
dc.identifier.urihttp://hdl.handle.net/123456789/7823
dc.language.isoenen_US
dc.subjectcoconuten_US
dc.subjectmachine learningen_US
dc.subjectfruit classificationen_US
dc.subjectacoustic signalen_US
dc.subjectintelligent systemsen_US
dc.titleDetermining Philippine coconut maturity level using machine learning algorithms based on acoustic signalen_US
dc.typeArticleen_US

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