Phenotyping Key Fruit Quality Traits in Olive Using RGB Images and Back Propagation Neural Networks

To predict oil and phenol concentrations in olive fruit, the combination of back propagation neural networks (BPNNs) and contact-less plant phenotyping techniques was employed to retrieve RGB image-based digital proxies of oil and phenol concentrations. Fruits of cultivars (×3) differing in ripening...

Descripción completa

Detalles Bibliográficos
Autores principales: Montanaro, Giuseppe, Petrozza, Angelo, Rustioni, Laura, Cellini, Francesco, Nuzzo, Vitale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289815/
https://www.ncbi.nlm.nih.gov/pubmed/37363144
http://dx.doi.org/10.34133/plantphenomics.0061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289815/
https://www.ncbi.nlm.nih.gov/pubmed/37363144
http://dx.doi.org/10.34133/plantphenomics.0061

Ejemplares similares