Two-Stage Intelligent DarkNet-SqueezeNet Architecture-Based Framework for Multiclass Rice Grain Variety Identification

Image processing is an important domain for identifying various crop varieties. Due to the large amount of rice and its varieties, manually detecting its qualities is a very tedious and time-consuming task. In this work, we propose a two-stage deep learning framework for detecting and classifying mu...

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Detalles Bibliográficos
Autores principales: Fatima, Maryam, Khan, Muhammad Attique, Sharif, Muhammad, Alhaisoni, Majed, Alqahtani, Abdullah, Tariqe, Usman, Kim, Ye Jin, Chang, Byoungchol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718623/
https://www.ncbi.nlm.nih.gov/pubmed/36465951
http://dx.doi.org/10.1155/2022/1339469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718623/
https://www.ncbi.nlm.nih.gov/pubmed/36465951
http://dx.doi.org/10.1155/2022/1339469

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