AYRNA Research Group
LEARNING AND ARTIFICIAL NEURAL NETWORKS

  • Home
  • Members
  • Publications
    • Articles
    • Thesis
    • Conferences
    • Book chapters
  • Special Sessions
  • Research Results
    • Partitions and source code
    • Broadcast events
  • Projects
  • About us
    • Research areas
    • Contact
HomeProjectsaplicaciones-agronomia
SpanishESEnglish (UK)

Applications - Agronomy

Description

Aplicación de modelos de clasificación para el área de Agronomía.

  

Publications

  • Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds
  • Logistic evolutionary product-unit neural network classifier: the case of agrarian efficiency
  • Classification of goat genetic resources using morphological traits. Comparison of machine learning techniques with linear discriminant analysis
  • Willingness to purchase Genetically Modified food: an analysis applying artificial Neural Networks
  • Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
Back

      

Copyright © 2025 Ayrna. All Rights Reserved.
Joomla! is Free Software released under the GNU General Public License.
Powered by Warp Theme Framework