Practical experiences with a system for site‐specific weed control in arable crops using real‐time image analysis and GPS‐controlled patch spraying

By R. Gerhards, H. Oebel. 2006

218 citations recorded by the source corpus.

Subfields: Agronomy and Crop Science, Plant Science

View Paper: https://www.semanticscholar.org/paper/b83c87e2ff247a70bdc15ecb38fc3f6dd8b0a756

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In Plant Science

1. Bastian Siegmann
2. Thomas Jarmer

Citations in the corpus

• Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture (2015, methodology): “…also be done by means of image processing methods, using infrared, multispectral, or RGB cameras to extract plant properties (Andújar et al., 2011; Gerhards & Oebel, 2006; Romeo et al., 2013; Weis & Gerhards, 2007) employing color, shape, and texture features (Guijarro et al., 2011; McCarthy et…”
• Multi-Temporal Site-Specific Weed Control of Cirsium arvense (L.) Scop. and Rumex crispus L. in Maize and Sugar Beet Using Unmanned Aerial Vehicle Based Mapping (2018, methodology): “The presented workflow could be used in maize and sugar beet with generally low weed threshold levels [22,37].”