DETERMINATION OF QUALITY AND RIPENING STAGES OF ‘PACOVAN’ BANANAS USING VIS-NIR SPECTROSCOPY AND MACHINE LEARNING

Autor: Iara J. S. Ferreira, Sarah L. F. de O. Almeida, Acácio Figueiredo Neto, Daniel dos Santos Costa

Publikováno v: Engenharia Agrícola, Volume: 42, Issue: spe, Article number: e20210160, Published: 23 MAR 2022
Engenharia Agrícola v.42 n.spe 2022
Engenharia Agrícola
Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA

This paper aimed to develop predictive models to determine total soluble solids, firmness, and ripening stages of ‘Pacovan’ bananas, using Vis-NIR spectroscopy and machine learning algorithms. A total of 384 bananas were divided into different da

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000800103&lng=en&tlng=en