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A dataset of pomegranate growth stages for machine learning-based monitoring and analysis
Machine learning and deep learning have grown very rapidly in recent years and are widely used in agriculture. Neat and clean datasets are a major requirement for building accurate and robust machine learning models and minimizing misclassification in real-time environments. To achieve this goal, we...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432946/ https://www.ncbi.nlm.nih.gov/pubmed/37600594 http://dx.doi.org/10.1016/j.dib.2023.109468 |