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Machine learning applications for multi-source data of edible crops: A review of current trends and future prospects

The quality and safety of edible crops are key links inseparable from human health and nutrition. In the era of rapid development of artificial intelligence, using it to mine multi-source information on edible crops provides new opportunities for industrial development and market supervision of edib...

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Detalles Bibliográficos
Autores principales: Zhang, Yanying, Wang, Yuanzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534232/
https://www.ncbi.nlm.nih.gov/pubmed/37780348
http://dx.doi.org/10.1016/j.fochx.2023.100860