Mostrar el registro sencillo del ítem
First steps to predicting pulp colour in whole melons using near-infrared reflectance spectroscopy
dc.contributor.author | Sánchez, María-Teresa | |
dc.contributor.author | Torres, Irina | |
dc.contributor.author | De la Haba, María-José | |
dc.contributor.author | Pérez-Marín, D.C. | |
dc.date.accessioned | 2024-06-12T07:16:25Z | |
dc.date.available | 2024-06-12T07:16:25Z | |
dc.date.issued | 2014 | |
dc.identifier.issn | 1537-5110 | |
dc.identifier.uri | http://hdl.handle.net/10396/28500 | |
dc.description.abstract | Near-infrared reflectance spectroscopy (NIRS) technology was used for the non-destructive measurement of melon-pulp colour (a*, b*, C* and h*), one of the main indicators of ripeness and quality. A total of 432 Cantaloupe and Galia melons were used in the construction of calibration models, testing various spectral signal pretreatments and both linear and non-linear regression algorithms. The coefficient of determination (r2) and the standard error of cross-validation (SECV) obtained for parameters a* (0.96, 2.16), b* (0.85, 3.25), C* (0.82, 3.76) and h* (0.96, 3.64) in intact fruit confirmed the a priori viability of NIRS technology with modified partial least squares (MPLS) regression for measuring melon ripeness and quality. Moreover, the application of a local algorithm improved the ability of models to predict all the internal-colour quality parameters studied. These results suggest that NIRS technology is a promising tool for monitoring ripening in melons and thus for establishing the optimal harvesting time. | es_ES |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
dc.source | Sánchez, M. T., Torres, I., De la Haba, M. J., & Pérez-Marín, D. C. (2014). First steps to predicting pulp colour in whole melons using near-infrared reflectance spectroscopy. Biosystems Engineering, 123, 12-18. https://doi.org/10.1016/j.biosystemseng.2014.04.010 | es_ES |
dc.subject | Near-infrared spectroscopy | es_ES |
dc.subject | Melon | es_ES |
dc.subject | Internal colour | es_ES |
dc.subject | MPLS regression | es_ES |
dc.subject | Local algorithm | es_ES |
dc.title | First steps to predicting pulp colour in whole melons using near-infrared reflectance spectroscopy | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.biosystemseng.2014.04.010 | es_ES |
dc.relation.projectID | Junta de Andalucía. Project No. 3713 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |