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Fast identification of different kind of green coffee by electronic nose
Department of Life Sciences, University of Modena and Reggio Emilia, Via Amendola 2-42122, Reggio Emilia, Italy; CNR-INO, Sensor Lab., Via Branze, 45, Brescia, 25123, Italy.
Department of Life Sciences, University of Modena and Reggio Emilia, Via Amendola 2-42122, Reggio Emilia, Italy; CNR-IBF, Via Ugo La Malfa 153, Palermo, 90146, Italy.
Diploma of Information Engineering, University of Brescia, Via Branze 38, Brescia, 25133, Italy; CNR-INO, Sensor Lab., Via Branze, 45, Brescia, 25123, Italy.
Diploma of Information Engineering, University of Brescia, Via Branze 38, Brescia, 25133, Italy; CNR-INO, Sensor Lab., Via Branze, 45, Brescia, 25123, Italy.ORCID iD: 0000-0003-1785-7177
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2014 (English)In: Sensor Letters, ISSN 1546-198X, E-ISSN 1546-1971, Vol. 12, no 6/7, p. 1110-1112Article in journal (Refereed) Published
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2014. Vol. 12, no 6/7, p. 1110-1112
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URN: urn:nbn:se:ltu:diva-34701DOI: 10.1166/sl.2014.3167Scopus ID: 2-s2.0-84911365790Local ID: 8f997335-511a-4ee0-8834-29b5e6cb182aOAI: oai:DiVA.org:ltu-34701DiVA, id: diva2:1007952
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Upprättat; 2014; 20160601 (inah); Konferensartikel i tidskrift

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2025-10-22Bibliographically approved

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Concina, Isabella

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