Applications - Agronomy

Descripción

Aplicación de modelos de clasificación para el área de Agronomía.

Publicaciones

• 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
• Determination of relative agrarian technical efficiency by a dynamic over-sampling procedure guided by minimum sensitivity
• Income prediction in the agrarian sector using product unit neural networks
• Expert-Oriented Monte-Carlo DEA: Technical Efficiency Assessment of the Agrarian Sector
• Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms