ECORFAN®

Journal Democratic Republic of Congo
Volumen 7 Número 12

Comparison of Machine Learning algorithms for the Burnout projection

LARA-GONZALEZ, Luis Rey, DELGADO-LUNA, Martha Angélica, DE LEON-GALVAN, Beatriz Elena and VENEGAS-GUERRERO, José Carlos
Universidad Politécnica de Juventino Rosas

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Enabling experimental greenhouse for high-tech application

RODRÍGUEZ-FRANCO, Martín Eduardo, MALDONADO-RUELAS, Víctor Arturo, VILLALOBOS-PIÑA, Francisco Javier and ORTIZ-MEDINA, Raúl Arturo
Universidad Politécnica de Aguascalientes
Instituto Tecnológico de Aguascalientes

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Statistical analysis and characterization of Landsat 8 satellite images of forest wildfires regions

HERNANDEZ-LOPEZ, Sandra Paola, YAÑEZ-VARGAS, Juan Israel, GONZÁLEZ-RAMIREZ, Andrea and TORRES-ROMAN, Deni
Universidad Politécnica de Juventino Rosas.
CINVESTAV del IPN, Unidad Guadalajara

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Neural network for crop rotation and soil analysis in a Greenhouse

RAFAEL-PÉREZ, Eva, MONTERO-CORTÉS, Yeimi Yanet, RUIZ-RAMÍREZ, Alan Eduardo and MORALES-HERNÁNDEZ, Maricela
Instituto Tecnológico de Oaxaca

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ECORFAN Journal-Democratic Republic of Congo, Volume 5, Number 9, December-2019, is a biannual Journal edited by ECORFAN-Democratic Republic of Congo. Kinshasa 6593 N-31Rép.DémocratiqueduCongo, http://www.ecorfan.org/democraticrepublicofcongo/journal.php, journal@ecorfan.org. Editor in charge Elisée Ilunga Mbuyamba. ISSN: 2414-4924. Responsible for the last update of this issue ECORFAN Computer Unit. Imelda Escamilla Bouchán, PhD. Vladimir Luna Soto, PhD. Kinshasa 6593 N-31Rép.DémocratiqueduCongo. Date of last update December 31, 2019. The opinions expressed by the authors do not necessarily reflect the position of the publisher of the publication. It is strictly forbidden the total or partial reproduction of the contents and images of the publication without prior authorization from the Copyright Office.