Provenance Identification of Leaves and Nuts of Bertholletia excelsa Bonpl by Near-Infrared Spectroscopy and Color Parameters for Sustainable Extraction

Silvana Nisgoski (), Joielan Xipaia dos Santos, Helena Cristina Vieira, Tawani Lorena Naide, Rafaela Stange, Washington Duarte Silva da Silva, Deivison Venicio Souza, Natally Celestino Gama and Márcia Orie de Souza Hamada
Additional contact information
Silvana Nisgoski: Department of Forest and Technology Engineering, Federal University of Paraná, Curitiba 80210-170, Paraná, Brazil
Joielan Xipaia dos Santos: Department of Forest and Technology Engineering, Federal University of Paraná, Curitiba 80210-170, Paraná, Brazil
Helena Cristina Vieira: Department of Forest and Technology Engineering, Federal University of Paraná, Curitiba 80210-170, Paraná, Brazil
Tawani Lorena Naide: Department of Forest and Technology Engineering, Federal University of Paraná, Curitiba 80210-170, Paraná, Brazil
Rafaela Stange: Department of Forest and Technology Engineering, Federal University of Paraná, Curitiba 80210-170, Paraná, Brazil
Washington Duarte Silva da Silva: Department of Forest and Technology Engineering, Federal University of Paraná, Curitiba 80210-170, Paraná, Brazil
Deivison Venicio Souza: Forest Engineering, Federal University of Pará, Altamira 68440-000, Pará, Brazil
Natally Celestino Gama: Forest Engineering, Federal University of Pará, Altamira 68440-000, Pará, Brazil
Márcia Orie de Souza Hamada: Forest Engineering, Federal University of Pará, Altamira 68440-000, Pará, Brazil

Sustainability, 2023, vol. 15, issue 21, 1-15

Abstract: The Brazil nut tree is considered symbolic of the Brazilian Amazon in function of its great importance, being one of the most significant extractivist products and a subsistence practice of the Indigenous people in many municipalities in Pará state. One of the main problems in different communities is related to the marketing process since it is not possible to distinguish the origin of the nuts and this causes inconvenience. The study evaluated the potential of VIS/NIR spectroscopy to identify the origin of leaves and nuts from Brazil nut trees growing in two indigenous villages, in the Xipaya Indigenous Lands, Pará state. Analysis was performed based on CIEL*a*b* parameters and using VIS (360–740 nm) and near-infrared spectra (1000–2500 nm). The samples were differentiated according to means tests, principal component analysis (PCA), and classification analysis based on k-NN. Color parameters and spectra were similar in both communities. Classification models based on k-NN produced adequate results for the distinction of villages in all evaluated situations, with accuracy of 98.54% for leaves, 89% and 90.91% for nuts with and without shell, respectively. Near infrared can be applied in forests as a technique for previous provenance identification and contribute to the subsistence and sustainable practice of extraction.

Keywords: VIS/NIR spectroscopy; machine learning; Brazil nut tree; sustainable extractions (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/21/15606/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/21/15606/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:21:p:15606-:d:1273893

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().