Prediction of Antioxidant Activity of Cherry Fruits from UAS Multispectral Imagery Using Machine Learning

In this research, a model for the estimation of antioxidant content in cherry fruits from multispectral imagery acquired from drones was developed, based on machine learning methods. For two consecutive cultivation years, the trees were sampled on different dates and then analysed for their fruits’...

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Detalles Bibliográficos
Autores principales: Karydas, Christos, Iatrou, Miltiadis, Kouretas, Dimitrios, Patouna, Anastasia, Iatrou, George, Lazos, Nikolaos, Gewehr, Sandra, Tseni, Xanthi, Tekos, Fotis, Zartaloudis, Zois, Mainos, Evangelos, Mourelatos, Spiros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070805/
https://www.ncbi.nlm.nih.gov/pubmed/32075036
http://dx.doi.org/10.3390/antiox9020156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070805/
https://www.ncbi.nlm.nih.gov/pubmed/32075036
http://dx.doi.org/10.3390/antiox9020156

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