Development of a Rice Plant Disease Classification Model in Big Data Environment

More than the half of the global population consume rice as their primary energy source. Therefore, this work focused on the development of a prediction model to minimize agricultural loss in the paddy field. Initially, rice plant diseases, along with their images, were captured. Then, a big data fr...

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Detalles Bibliográficos
Autores principales: Sengupta, Shampa, Dutta, Abhijit, Abdelmohsen, Shaimaa A. M., Alyousef, Haifa A., Rahimi-Gorji, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774147/
https://www.ncbi.nlm.nih.gov/pubmed/36550964
http://dx.doi.org/10.3390/bioengineering9120758

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774147/
https://www.ncbi.nlm.nih.gov/pubmed/36550964
http://dx.doi.org/10.3390/bioengineering9120758

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