Analysis of Convolutional Neural Network Models for Classifying the Quality of Dried Chili Peppers (Capsicum Annuum L)-Reference-Cited by-同舟云学术

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Analysis of Convolutional Neural Network Models for Classifying the Quality of Dried Chili Peppers (Capsicum Annuum L)

Published:2024 Issue: Volume: Page:116-131
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Navarro-Solís David^ORCID,Guerrero-Méndez Carlos^ORCID,Saucedo-Anaya Tonatiuh^ORCID,Lopez-Betancur Daniela^ORCID,Silva Luis^ORCID,Robles-Guerrero Antonio^ORCID,Gómez-Jiménez Salvador^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-51940-6_10

Reference27 articles.

1. Kittler, P.G., Sucher, K.P., Nelms, M.: Food and Culture. Cengage Learning (2016)

2. Russo, V.: Peppers: Botany, Production and Uses. CAB International (2012)

3. NMX-FF-107/1-SCFI-2014. https://www.dof.gob.mx/nota_detalle.php?codigo=5379404&fecha=23/01/2015#gsc.tab=0

4. Lopez-Betancur, D., Bosco Durán, R., Guerrero-Mendez, C., Zambrano Rodríguez, R., Saucedo Anaya, T.: Comparación de arquitecturas de redes neuronales convolucionales para el diagnóstico de COVID-19. Comput. Sist. 25(3), 601–615 (2021)

5. Ortiz-Rodriguez, J.M., Guerrero-Mendez, C., Martinez-Blanco, M., Castro-Tapia, S., Moreno-Lucio, M., Jaramillo-Martinez, R., Garcia, J.: Breast cancer detection by means of artificial neural networks. Adv. Appl. Artif. Neural Netw. 28, 161–179 (2018)

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