Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review (2019)
- Authors:
- Autor USP: BARBOSA JUNIOR, FERNANDO - FCFRP
- Unidade: FCFRP
- DOI: 10.1016/j.compag.2019.01.020
- Subjects: ANÁLISE DE DADOS; APRENDIZADO COMPUTACIONAL; ADULTERAÇÃO DE ALIMENTOS; MEL
- Keywords: Honey; Multivariate data analysis; Machine learning; Food authenticity
- Language: Inglês
- Imprenta:
- Source:
- Título: Computers and Electronics in Agriculture
- ISSN: 0168-1699
- Volume/Número/Paginação/Ano: v. 157, p. 436-446, 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
MAIONE, Camila e BARBOSA JUNIOR, Fernando e BARBOSA, Rommel Melgaço. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review. Computers and Electronics in Agriculture, v. 157, p. 436-446, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2019.01.020. Acesso em: 23 jan. 2026. -
APA
Maione, C., Barbosa Junior, F., & Barbosa, R. M. (2019). Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review. Computers and Electronics in Agriculture, 157, 436-446. doi:10.1016/j.compag.2019.01.020 -
NLM
Maione C, Barbosa Junior F, Barbosa RM. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 436-446.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1016/j.compag.2019.01.020 -
Vancouver
Maione C, Barbosa Junior F, Barbosa RM. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 436-446.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1016/j.compag.2019.01.020 - Evaluation of biochemical and redox parameters in rats fed with corn grown in soil amended with urban sewage sludge
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Informações sobre o DOI: 10.1016/j.compag.2019.01.020 (Fonte: oaDOI API)
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