Developing crop specific algorithms to derive accurate GAI and Chlorophyll Content from SENTINEL-2 data: 4D modeling & machine learning | Zendy

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Developing crop specific algorithms to derive accurate GAI and Chlorophyll Content from SENTINEL-2 data: 4D modeling & machine learning

Author(s) -

Jingyi Jiang,

Marie Weiss,

Shouyang Liu,

Frédéric Baret

Publication year - 2019

Publication title -

hal (le centre pour la communication scientifique directe)

Language(s) - English

Resource type - Conference proceedings

Subject(s) - computer science , algorithm , crop , machine learning , artificial intelligence , agronomy , biology

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