Detection of subsurface bruises in plums using spectral imaging and deep learning with wavelength selection
Plums are widely consumed, both fresh and processed. During harvest, handling, or transportation, they are exposed to static and dynamic compression forces exceeding the critical stress for tissue damage. Compressionrelated damage typically develops further as the fruit ripens and softens, facilit...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2025
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/20.500.11939/9028 https://www.sciencedirect.com/science/article/abs/pii/S0925521423003769 |
Ejemplares similares: Detection of subsurface bruises in plums using spectral imaging and deep learning with wavelength selection
- Editorial: Deep learning approaches applied to spectral images for plant phenotyping
- Near infrared hyperspectral imaging and spectral unmixing methods for evaluation of fiber distribution in enriched pasta
- El Currículo Invisible: una Herramienta Clave para el Éxito de las Universidades y Escuelas
- Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars
- Evaluation of a UAV-mounted consumer grade camera with different spectral modifications and two handheld spectral sensors for rapeseed growth monitoring: Performance and influencing factors
- Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images