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UAV imagery data and machine learning: A driving merger for predictive analysis of qualitative yield in sugarcane
Predicting sugarcane yield by quality allows stakeholders from research centers to industries to decide on the precise time and place to harvest a product on the field; hence, it can streamline workflow while leveling up the cost-effectiveness of full-scale production. °Brix and Purity can offer sig...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929953/ https://www.ncbi.nlm.nih.gov/pubmed/36818852 http://dx.doi.org/10.3389/fpls.2023.1114852 |