Configuration of the deep neural network hyperparameters for the hypsometric modeling of the Guazuma crinita Mart. in the Peruvian Amazon
The Guazuma crinita Mart. is a dominant species of great economic importance for the inhabitants of the Peruvian Amazon, standing out for its rapid growth and being harvested at an early age. Understanding its vertical growth is a challenge that researchers have continued to study using different...
| Autores principales: | , , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | Español |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.12955/2086 https://doi.org/10.3390/f13050697 |
Ejemplares similares: Configuration of the deep neural network hyperparameters for the hypsometric modeling of the Guazuma crinita Mart. in the Peruvian Amazon
- Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why
- Bolaina blanca (Guazuma crinita Mart.)
- Editorial: Deep learning approaches applied to spectral images for plant phenotyping
- Silvicultura y manejo de Guazuma crinita Mart.
- Deep learning for image-based cassava disease detection
- Artificial neural network model for forecasting future ainfall scenario of Jharkhand state of India
