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Enhancing sugarcane disease classification with ensemble deep learning: A comparative study with transfer learning techniques
Deep learning practices in the agriculture sector can address many challenges faced by the farmers such as disease detection, yield estimation, soil profile estimation, etc. In this paper, disease classification for the sugarcane plant and the experimentation involved thereby is thoroughly discussed...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382639/ https://www.ncbi.nlm.nih.gov/pubmed/37520940 http://dx.doi.org/10.1016/j.heliyon.2023.e18261 |