Crop loss identification at field parcel scale using satellite remote sensing and machine learning

Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss is caused by many factors during the growing season; second, reliable reference data about crop loss are lacking; third, there are many ways to define crop loss. This study investigates the feasibilit...

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Detalles Bibliográficos
Autores principales: Hiremath, Santosh, Wittke, Samantha, Palosuo, Taru, Kaivosoja, Jere, Tao, Fulu, Proll, Maximilian, Puttonen, Eetu, Peltonen-Sainio, Pirjo, Marttinen, Pekka, Mamitsuka, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675751/
https://www.ncbi.nlm.nih.gov/pubmed/34914721
http://dx.doi.org/10.1371/journal.pone.0251952

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675751/
https://www.ncbi.nlm.nih.gov/pubmed/34914721
http://dx.doi.org/10.1371/journal.pone.0251952

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