A MODIS-based scalable remote sensing method to estimate sowing and harvest dates of soybean crops in Mato Grosso, Brazil

Large-scale agriculture in the state of Mato Grosso, Brazil is a major contributor to global food supplies, but its continued productivity is vulnerable to contracting wet seasons and increased exposure to extreme temperatures. Sowing dates serve as an effective adaptation strategy to these climate...

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Detalles Bibliográficos
Autores principales: Zhang, Minghui, Abrahao, Gabriel, Cohn, Avery, Campolo, Jake, Thompson, Sally
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264616/
https://www.ncbi.nlm.nih.gov/pubmed/34278029
http://dx.doi.org/10.1016/j.heliyon.2021.e07436

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8264616/
https://www.ncbi.nlm.nih.gov/pubmed/34278029
http://dx.doi.org/10.1016/j.heliyon.2021.e07436

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