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Automated Tenderness Assessment of Okra Using Robotic Non-Destructive Sensing

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Automated Tenderness Assessment of Okra Using Robotic Non-Destructive Sensing

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Arolkar, NM.; Ortiz Sánchez, MC.; Dapurkar, N.; Blanes Campos, C.; González-Planells, P. (2024). Automated Tenderness Assessment of Okra Using Robotic Non-Destructive Sensing. Horticulturae. 10(9). https://doi.org/10.3390/horticulturae10090930

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/211431

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Title: Automated Tenderness Assessment of Okra Using Robotic Non-Destructive Sensing
Author: Arolkar, Neha M. Ortiz Sánchez, María Coral Dapurkar, Nikita Blanes Campos, Carlos González-Planells, Pablo
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Rural y Agroalimentaria - Departament d'Enginyeria Rural i Agroalimentària
Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural
Issued date:
Abstract:
[EN] The quality of okra is crucial in satisfying consumer expectations, and the tenderness of okra is an essential parameter in estimating its condition. However, the current methods for assessing okra tenderness are slow ...[+]
Subjects: Non-destructive , Tenderness , Robot , Okra , Quality
Copyrigths: Reconocimiento (by)
Source:
Horticulturae. (eissn: 2311-7524 )
DOI: 10.3390/horticulturae10090930
Publisher:
MDPI AG
Publisher version: https://doi.org/10.3390/horticulturae10090930
Project ID:
info:eu-repo/grantAgreement/GVA//INNEST%2F2023%2F106/
Thanks:
This research was funded by the Valencia Government (Spain) through the project "RECOLECCION INTELIGENTE Y AUTOMATIZADA DE CULTIVOS DE ALTO VALOR EN INVERNADEROS SOSTENIBLES (INNEST/2023/106)" and supported by the NAHEP, ...[+]
Type: Artículo

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