Classification of successional stages in native forests of the Argentine Spinal through neural networks

Author:

Sabattini Julián Alberto1ORCID,Sabattini Rafael Alberto1,Urteaga‐Omar Alicia Florencia1,Velázquez‐Martí Borja2ORCID

Affiliation:

1. Chair of Ecology of Agricultural Systems, Faculty of Agricultural SciencesNational University of Entre Rios Route No. 11, Km 10, CP 3100 Oro Verde Entre Ríos Argentina

2. Departamento de Ingeniería Rural y AgroalimentariaUniversitat Politècnica de València Camino de Vera s/n 46022 Valencia Spain

Publisher

Wiley

Subject

Soil Science,General Environmental Science,Development,Environmental Chemistry

Reference29 articles.

1. Evaluation of species abundance models of tree strata in a cloud forest;Aguirre‐Calderón O. A.;Revista Fitotecnia Mexicana Sociedad Mexicana de Fitogenética,2008

2. Predicción de la potencialidad de los bosques esclerófilos españoles mediante redes neuronales artificiales

3. Floristic composition and structure of a tropical dry forest at different successional stages in the espinhaço mountains, southeastern Brazil;Coelho M. S.;Interciencia,2012

4. Agricultural crop yield prediction using artificial neural network approach;Dahikar S.;Internatinal Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering,2014

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