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...
| Main Authors: | , , , , |
|---|---|
| Format: | info:eu-repo/semantics/article |
| Language: | Español |
| Published: |
MDPI
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/20.500.12955/2086 https://doi.org/10.3390/f13050697 |
Similar Items: 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
- Editorial: Deep learning approaches applied to spectral images for plant phenotyping
- Classifying the risk of forest loss in the Peruvian amazon rainforest: An alternative approach for sustainable forest management using artificial intelligence
- Onset of deep drainage and salt mobilization following forest clearing and cultivation in the Chaco plains (Argentina)
- Convolutional neural networks to assess bergamot essential oil content in the field from smartphone images
- Effects of deep tillage and crop rotation on soil biological properties in the Humid Pampas (Argentina)
