Recognition and classification system for trinitario cocoa fruits according to their ripening stage based on the Yolo v5 algorithm

Ruth A. Bastidas-Alva, Jose A.Paitan Cardenas, Kris S.Bazan Espinoza, Vrigel K.Povez Nunez, Maychol E.Quincho Rivera, Jaime Huaytalla

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

The objective of this research is the recognition and classification of the ripening state of trintario cocoa, based on the artificial vision technique YOLO-v5, executed in the Google Colab and MiniConda environment. The methodology contemplates preprocessing, processing and post-processing; in the first one, data acquisition, annotation and augmentation are performed; in the second one, the neural network architecture and the execution code are precise; finally, the model accuracy is determined and inferences are made through image and video tests in real time. The database contains 1286 training images collected in VRAEM fields, which were augmented using the novel Mosaic-12 method, which consists of improving the data with respect to the 4-mosaic model. The accuracy results for the model trained with the improved database is 60.2% and for the model with the unimproved database is 56%, confirming the technical value of the proposed method, achieving the recognition and classification of Trinitario cocoa according to its ripening stage in real time.

Idioma originalInglés estadounidense
Título de la publicación alojadaProceedings - 2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering, ARACE 2022
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas138-142
-5
ISBN (versión digital)9781665451536
DOI
EstadoIndizado - 2022
Evento2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering, ARACE 2022 - Qingdao, China
Duración: 26 ago. 202228 ago. 2022

Serie de la publicación

NombreProceedings - 2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering, ARACE 2022

Conferencia

Conferencia2022 Asia Conference on Advanced Robotics, Automation, and Control Engineering, ARACE 2022
País/TerritorioChina
CiudadQingdao
Período26/08/2228/08/22

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Publisher Copyright:
© 2022 IEEE.

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