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of 6
pro vyhledávání: '"Abraham Gastélum-Barrios"'
Autor:
Abraham Gastélum-Barrios, Genaro M. Soto-Zarazúa, Axel Escamilla-García, Manuel Toledano-Ayala, Gonzalo Macías-Bobadilla, Daniel Jauregui-Vazquez
Publikováno v:
Sensors, Vol 20, Iss 12, p 3356 (2020)
The present manuscript focuses on reviewing the optical techniques proposed to monitor milk quality in dairy farms to increase productivity and reduce costs. As is well known, the quality is linked to the fat and protein concentration; in addition, t
Externí odkaz:
https://doaj.org/article/b9130224ee9c4a2581d739b6826300bd
Autor:
Axel Escamilla-García, Genaro M. Soto-Zarazúa, Manuel Toledano-Ayala, Edgar Rivas-Araiza, Abraham Gastélum-Barrios
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3835 (2020)
This article reviews the applications of artificial neural networks (ANNs) in greenhouse technology, and also presents how this type of model can be developed in the coming years by adapting to new technologies such as the internet of things (IoT) an
Externí odkaz:
https://doaj.org/article/c85ea4cf8c904907934ac8a43a938247
Autor:
Abraham Gastélum-Barrios, Genaro M. Soto-Zarazúa, Juan F. García-Trejo, Juan M. Sierra-Hernandez, Daniel Jauregui-Vazquez
Publikováno v:
Sensors, Vol 19, Iss 20, p 4562 (2019)
The present work experimentally demonstrates a multimode fiber optic sensing setup for total fat detection in raw milk samples. The optical fiber arrangement incorporates a low-coherence Fabry−Perot cavity operating in dual response. The system pro
Externí odkaz:
https://doaj.org/article/4d9e8baa13474ccea2f1d8ee1428752a
Autor:
Abraham Gastélum-Barrios, Manuel Toledano-Ayala, Genaro M. Soto-Zarazúa, Axel Escamilla-García
Publikováno v:
Journal of Applied Research and Technology. 20:564-569
One of the principal activities in the poultry industry is determine the sex of chickens of one day old. In this paper, we present a non-invasive technique to determine the sex of day-old chickens based on image processing algorithms. The technique a
Autor:
Abraham Gastélum Barrios
Publikováno v:
Universidad Autónoma de Querétaro
UAQ
Repositorio Institucional de la Universidad Autónoma de Querétaro
UAQ
Repositorio Institucional de la Universidad Autónoma de Querétaro
La calidad de la leche puede cuantificarse estudiando su composición, principalmente el contenido de grasa y proteína. Realizar un constante monitoreo de estos parámetros, es una actividad crucial para mantener un hato en buen estado de salud, pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::d5c8e12e4d3638a6b0601f6ab47572b0
http://ri-ng.uaq.mx/handle/123456789/2416
http://ri-ng.uaq.mx/handle/123456789/2416
Autor:
Genaro M. Soto-Zarazúa, Axel Escamilla-García, Edgar A. Rivas-Araiza, Abraham Gastélum-Barrios, Manuel Toledano-Ayala
Publikováno v:
Applied Sciences, Vol 10, Iss 3835, p 3835 (2020)
This article reviews the applications of artificial neural networks (ANNs) in greenhouse technology, and also presents how this type of model can be developed in the coming years by adapting to new technologies such as the internet of things (IoT) an