NDLI: Modelos de predicción del índice de madurez de abonos orgánicos producidos con tres procesos de transformación

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Modelos de predicción del índice de madurez de abonos orgánicos producidos con tres procesos de transformación

Content Provider	Semantic Scholar
Author	Sánchez-Rosales, Rocío Hernández-Rodríguez, Ofelia Adriana Jiménez-Castro, Jorge Alfonso Ojeda-Barrios, Damaris Leopoldina Guerrero-Prieto, Víctor Parra-Quezada, Rafael Ángel
Copyright Year	2018
Abstract	Organic waste subjected to controlled decomposition processes reduces risks of contamination and acquires agronomic value. The main indicator of quality of a composting product is maturity index, which is determined with different physical, chemical and biological parameters, resulting in a very complex process. Mathematical models have proven to be an efficient tool to evaluate numerous interactions between variables for diagnostic and predictive purposes. The objective was to generate prediction models of maturity index of organic fertilizers produced from organic waste subjected to vermicomposting, semicomposting and composting. A mixture of bovine manure and pine sawdust, with a carbon/nitrogen ratio of 25, was subjected separately to three transformation processes for 183 days. Environmental tem* Autor para correspondencia: aernande@uach.mx Cita del artículo: Sánchez-Rosales R, Hernández-Rodríguez OA, Jiménez-Castro JA, Ojeda-Barrios DL, GuerreroPrieto VM, Parra-Quezada RA (2019). Modelos de predicción del índice de madurez de abonos orgánicos producidos con tres procesos de transformación. ITEA-Información Técnica Económica Agraria 115(3): 198-212. https:// doi.org/10.12706/itea.2018.033 Sánchez-Rosales et al. (2019). ITEA-Inf. Tec. Econ. Agrar. 115(3): 198-212 199
File Format	PDF HTM / HTML
DOI	10.12706/itea.2018.033
Alternate Webpage(s)	http://www.aida-itea.org/aida-itea/files/itea/revistas/2019/115-3/(198-212)%20ITEA%20115-3.pdf
Alternate Webpage(s)	https://doi.org/10.12706/itea.2018.033
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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