Integration of simultaneous tactile sensing and reflectance visible and near-infrared spectroscopy in a robot gripper for mango quality assessment
Development of non-destructive tools for determining mango ripeness would improve the quality of industrial production of the postharvest processes. This study addresses the creation of a new sensor that combines the capability of obtaining simultaneously both mechanical and optical properties of th...
| Main Authors: | , , , , , , , |
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| Format: | Artículo preliminar |
| Language: | Inglés |
| Published: |
Elsevier
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11939/5733 http://www.sciencedirect.com/science/article/pii/S1537511017303768 |
| _version_ | 1855491974303318016 |
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| author | Cortés, Victoria Blanes, Carlos Blasco, José Ortiz, Coral Aleixos, Nuria Mellado Arteche, Martín Cubero, Sergio Talens, Pau |
| author_browse | Aleixos, Nuria Blanes, Carlos Blasco, José Cortés, Victoria Cubero, Sergio Mellado Arteche, Martín Ortiz, Coral Talens, Pau |
| author_facet | Cortés, Victoria Blanes, Carlos Blasco, José Ortiz, Coral Aleixos, Nuria Mellado Arteche, Martín Cubero, Sergio Talens, Pau |
| author_sort | Cortés, Victoria |
| collection | ReDivia |
| description | Development of non-destructive tools for determining mango ripeness would improve the quality of industrial production of the postharvest processes. This study addresses the creation of a new sensor that combines the capability of obtaining simultaneously both mechanical and optical properties of the fruit. It has been integrated in a robot gripper that can handle the fruit obtaining non-destructive measurements of firmness, incorporating two spectrometer probes to simultaneously obtain reflectance properties of the visible and near-infrared, and two accelerometers attached to the rear side of two fingers. Partial least square regression was applied to different combinations of the spectra data obtained from the different sensors to determine the combination that provides the best results. Best prediction of ripening index was achieved using both spectral measurements and two finger accelerometers signals, with R2p = 0.832 and RMSEP of 0.520. These results demonstrate that simultaneous measurement and analysis of the data fusion set improve the robot gripper features, allowing to assess the quality of the mangoes during pick and place processes. |
| format | Artículo preliminar |
| id | ReDivia5733 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | ReDivia57332025-04-25T14:45:53Z Integration of simultaneous tactile sensing and reflectance visible and near-infrared spectroscopy in a robot gripper for mango quality assessment Cortés, Victoria Blanes, Carlos Blasco, José Ortiz, Coral Aleixos, Nuria Mellado Arteche, Martín Cubero, Sergio Talens, Pau spectrometry; chemometrics; non-destructive sensor; tactile sensor; accelerometer J11 Handling, transport, storage and protection of plant products Sensors Food quality Development of non-destructive tools for determining mango ripeness would improve the quality of industrial production of the postharvest processes. This study addresses the creation of a new sensor that combines the capability of obtaining simultaneously both mechanical and optical properties of the fruit. It has been integrated in a robot gripper that can handle the fruit obtaining non-destructive measurements of firmness, incorporating two spectrometer probes to simultaneously obtain reflectance properties of the visible and near-infrared, and two accelerometers attached to the rear side of two fingers. Partial least square regression was applied to different combinations of the spectra data obtained from the different sensors to determine the combination that provides the best results. Best prediction of ripening index was achieved using both spectral measurements and two finger accelerometers signals, with R2p = 0.832 and RMSEP of 0.520. These results demonstrate that simultaneous measurement and analysis of the data fusion set improve the robot gripper features, allowing to assess the quality of the mangoes during pick and place processes. 2017-09-06T16:46:43Z 2017-09-06T16:46:43Z 2017 acceptedVersion Cortés V, Blanes C, Blasco J, Ortiz C, Aleixos N, Mellado M, Cubero S, Talens P (2017). Integration of simultaneous tactile sensing and reflectance visible and near-infrared spectroscopy in a robot gripper for mango quality assessment. Biosystems Engineering, 166, 112-123 http://hdl.handle.net/20.500.11939/5733 10.1016/j.biosystemseng.2017.08.005 http://www.sciencedirect.com/science/article/pii/S1537511017303768 en info:eu-repo/grantAgreement/MINECO/Programa nacional de Investigación Fundamental/RTA2012-00062-C04-01//Nuevas técnicas de inspección basadas en espectrometría para la estimación de propiedades y determinación automática de la calidad interna y sanidad de productos agroalimentarios aplicadas a líneas de inspección y manipulación (SPEC-DACSA) RTA2012-00062-C04-01 Elsevier electronico |
| spellingShingle | spectrometry; chemometrics; non-destructive sensor; tactile sensor; accelerometer J11 Handling, transport, storage and protection of plant products Sensors Food quality Cortés, Victoria Blanes, Carlos Blasco, José Ortiz, Coral Aleixos, Nuria Mellado Arteche, Martín Cubero, Sergio Talens, Pau Integration of simultaneous tactile sensing and reflectance visible and near-infrared spectroscopy in a robot gripper for mango quality assessment |
| title | Integration of simultaneous tactile sensing and reflectance visible and near-infrared spectroscopy in a robot gripper for mango quality assessment |
| title_full | Integration of simultaneous tactile sensing and reflectance visible and near-infrared spectroscopy in a robot gripper for mango quality assessment |
| title_fullStr | Integration of simultaneous tactile sensing and reflectance visible and near-infrared spectroscopy in a robot gripper for mango quality assessment |
| title_full_unstemmed | Integration of simultaneous tactile sensing and reflectance visible and near-infrared spectroscopy in a robot gripper for mango quality assessment |
| title_short | Integration of simultaneous tactile sensing and reflectance visible and near-infrared spectroscopy in a robot gripper for mango quality assessment |
| title_sort | integration of simultaneous tactile sensing and reflectance visible and near infrared spectroscopy in a robot gripper for mango quality assessment |
| topic | spectrometry; chemometrics; non-destructive sensor; tactile sensor; accelerometer J11 Handling, transport, storage and protection of plant products Sensors Food quality |
| url | http://hdl.handle.net/20.500.11939/5733 http://www.sciencedirect.com/science/article/pii/S1537511017303768 |
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