Forecasting of Cereal Yields in a Semi-arid Area Using the Simple Algorithm for Yield Estimation (SAFY) Agro-Meteorological Model Combined with Optical SPOT/HRV Images

In semi-arid areas characterized by frequent drought events, there is often a strong need for an operational grain yield forecasting system, to help decision-makers with the planning of annual imports. However, monitoring the crop canopy and production capacity of plants, especially for cereals, can...

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Detalles Bibliográficos
Autores principales: Chahbi Bellakanji, Aicha, Zribi, Mehrez, Lili-Chabaane, Zohra, Mougenot, Bernard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068716/
https://www.ncbi.nlm.nih.gov/pubmed/29970840
http://dx.doi.org/10.3390/s18072138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068716/
https://www.ncbi.nlm.nih.gov/pubmed/29970840
http://dx.doi.org/10.3390/s18072138

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