Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches

Accurate information about growing crops allows for regulating the internal stocks of agricultural products and drawing strategies for negotiating agricultural commodities on financial markets. Machine learning methods are widely implemented for crop type recognition and classification based on sate...

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Detalles Bibliográficos
Autores principales: Matvienko, Ivan, Gasanov, Mikhail, Petrovskaia, Anna, Kuznetsov, Maxim, Jana, Raghavendra, Pukalchik, Maria, Oseledets, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695680/
https://www.ncbi.nlm.nih.gov/pubmed/36433199
http://dx.doi.org/10.3390/s22228600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695680/
https://www.ncbi.nlm.nih.gov/pubmed/36433199
http://dx.doi.org/10.3390/s22228600

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