Remotely Sensed Rice Yield Prediction Using Multi-Temporal NDVI Data Derived from NOAA's-AVHRR

Grain-yield prediction using remotely sensed data have been intensively studied in wheat and maize, but such information is limited in rice, barley, oats and soybeans. The present study proposes a new framework for rice-yield prediction, which eliminates the influence of the technology development,...

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Detalles Bibliográficos
Autores principales: Huang, Jingfeng, Wang, Xiuzhen, Li, Xinxing, Tian, Hanqin, Pan, Zhuokun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3742684/
https://www.ncbi.nlm.nih.gov/pubmed/23967112
http://dx.doi.org/10.1371/journal.pone.0070816

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3742684/
https://www.ncbi.nlm.nih.gov/pubmed/23967112
http://dx.doi.org/10.1371/journal.pone.0070816

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