Early detection of Solanum lycopersicum diseases from temporally-aggregated hyperspectral measurements using machine learning

Some plant diseases can significantly reduce harvest, but their early detection in cultivation may prevent those consequential losses. Conventional methods of diagnosing plant diseases are based on visual observation of crops, but the symptoms of various diseases may be similar. It increases the dif...

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Detalles Bibliográficos
Autores principales: Tomaszewski, Michał, Nalepa, Jakub, Moliszewska, Ewa, Ruszczak, Bogdan, Smykała, Krzysztof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175501/
https://www.ncbi.nlm.nih.gov/pubmed/37169807
http://dx.doi.org/10.1038/s41598-023-34079-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175501/
https://www.ncbi.nlm.nih.gov/pubmed/37169807
http://dx.doi.org/10.1038/s41598-023-34079-x

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