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Corn Grain Yield Prediction and Mapping from Unmanned Aerial System (UAS) Multispectral Imagery

Harvester-mounted yield monitor sensors are expensive and require calibration and data cleaning. Therefore, we evaluated six vegetation indices (VI) from unmanned aerial system (Quantix™ Mapper) imagery for corn (<i>Zea mays</i> L.) yield prediction. A field trial was conducted with N sidedress trea...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: S. Sunoj, Jason Cho, Joe Guinness, Jan van Aardt, Karl J. Czymmek, Quirine M. Ketterings
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2021-10-01
Saila:Remote Sensing
Gaiak:
Sarrera elektronikoa:https://www.mdpi.com/2072-4292/13/19/3948
Etiketak: Etiketa erantsi
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