A Deep Learning Framework for Processing and Classification of Hyperspectral Rice Seed Images Grown under High Day and Night Temperatures

A framework combining two powerful tools of hyperspectral imaging and deep learning for the processing and classification of hyperspectral images (HSI) of rice seeds is presented. A seed-based approach that trains a three-dimensional convolutional neural network (3D-CNN) using the full seed spectral...

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Detalles Bibliográficos
Autores principales: Díaz-Martínez, Víctor, Orozco-Sandoval, Jairo, Manian, Vidya, Dhatt, Balpreet K., Walia, Harkamal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181662/
https://www.ncbi.nlm.nih.gov/pubmed/37177572
http://dx.doi.org/10.3390/s23094370

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181662/
https://www.ncbi.nlm.nih.gov/pubmed/37177572
http://dx.doi.org/10.3390/s23094370

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