Deep learning for sunflower (Helianthus annuus L.) mapping and stand counting: Trade-offs between closed vs. open-access methods

Sunflower (Helianthus annuus L.) is a strategically important oilseed crop in North Dakota (ND), where accurate mapping of singles and doubles along with stand count is critical for yield assessment. In recent years, researchers have leveraged built-in deep learning (DL) models available within the...

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Hauptverfasser:	Maria Villamil-Mahecha, Harsh Pathak, Nitin Rai, Paul Overby, Xin Sun
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-12-01
Schriftenreihe:	Smart Agricultural Technology
Schlagworte:	Counting Deep learning GIS software Sunflower Mapping Yield assessment
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2772375525004666
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