Tomato Classification with YOLOv8: Enhancing Automated Sorting and Quality Assessment

Please use this identifier to cite or link to this item: https://repositorio.uide.edu.ec/handle/37000/6777

Full metadata record

DC Field	Value	Language
dc.contributor.author	Pazmiño Erraez, Karina Fernanda	-
dc.contributor.author	Moya, Viviana Isabel (tutor)	-
dc.date.accessioned	2024-03-05T16:34:17Z	-
dc.date.available	2024-03-05T16:34:17Z	-
dc.date.issued	2024	-
dc.identifier.citation	Pazmiño Erraez, Karina Fernanda. (2024). Tomato Classification with YOLOv8: Enhancing Automated Sorting and Quality Assessment. Facultad de Mecatrónica. UIDE. Quito. 50 p.	es
dc.identifier.other	UIDE-Q-TMECA-2024-48	-
dc.identifier.uri	https://repositorio.uide.edu.ec/handle/37000/6777	-
dc.description.abstract	This section describes the technical calculations of the physical components, struc tures and mechanisms of the design system. Also included are the dimensions and functional specifications of each module of the web site.	es
dc.language.iso	en	es
dc.publisher	QUITO/UIDE/2024	es
dc.rights	openAccess	es
dc.subject	TOMATO CLASSIFICATION	es
dc.subject	YOLOv8	es
dc.subject	ENHANCING AUTOMATED SORTING	es
dc.subject	QUALITY ASSESSMENT	es
dc.title	Tomato Classification with YOLOv8: Enhancing Automated Sorting and Quality Assessment	es
dc.type	Thesis	es
Appears in Collections:	Tesis - Ingeniería en Mecatrónica

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