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Mapping Wheat Dry Matter and Nitrogen Content Dynamics and Estimation of Wheat Yield Using UAV Multispectral Imagery Machine Learning and a Variety-Based Approach: Case Study of Morocco.

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Title: Mapping Wheat Dry Matter and Nitrogen Content Dynamics and Estimation of Wheat Yield Using UAV Multispectral Imagery Machine Learning and a Variety-Based Approach: Case Study of Morocco.
Authors: Astaoui, Ghizlane1 ghizlan.astaoui@gmail.com, Dadaiss, Jamal Eddine1 j.e.dadaiss@gmail.com, Sebari, Imane1 i.sebari@iav.ac.ma, Benmansour, Samir2 benmansour@domaines.co.ma, Mohamed, Ettarid1 m.ettarid@iav.ac.ma
Source: AgriEngineering. Mar2021, Vol. 3 Issue 1, p29-49. 21p.
Database: Academic Search Ultimate
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  Data: Mapping Wheat Dry Matter and Nitrogen Content Dynamics and Estimation of Wheat Yield Using UAV Multispectral Imagery Machine Learning and a Variety-Based Approach: Case Study of Morocco.
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  Data: <searchLink fieldCode="JN" term="%22AgriEngineering%22">AgriEngineering</searchLink>. Mar2021, Vol. 3 Issue 1, p29-49. 21p.
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      – TitleFull: Mapping Wheat Dry Matter and Nitrogen Content Dynamics and Estimation of Wheat Yield Using UAV Multispectral Imagery Machine Learning and a Variety-Based Approach: Case Study of Morocco.
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              Text: Mar2021
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