CNN-based wheat yield prediction using multi-source and multi-stage data integration from UAV imagery and sensors
In this study, a convolutional neural network (CNN)-based deep learning model was developed to predict durum wheat yield by integrating RGB and multispectral UAV imagery, ground-based sensor measurements (SPAD, NDVI, LAI, and plant height), and climatic parameters under semi-arid conditions. The dat...
Na minha lista:
| Principais autores: | , , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2026-02-01
|
| coleção: | Ecological Informatics |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1574954126000142 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|