Identification of broad-leaved dock (Rumex obtusifolius L.) on grassland by means of digital image processing

By Steffen Gebhardt, Jürgen Schellberg, R. Lock, Walter Kühbauch. Precision Agriculture, 2006

83 citations recorded by the source corpus.

Subfields: Cell Biology, Ecology, Evolution, Behavior and Systematics, Pharmacology

View Paper: https://www.semanticscholar.org/paper/c97a9a78c18f1d1a2fe450a1225ef66abcef71d5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cell Biology

1. J. C. Neto
2. George E. Meyer

In Ecology, Evolution, Behavior and Systematics

1. J. C. Neto
2. George E. Meyer

In Pharmacology

1. J. C. Neto
2. George E. Meyer

Citations in the corpus

• Verification of color vegetation indices for automated crop imaging applications (2008, methodology): “Gebhardt et al. 2006) also used RGB transforms for their image segmentation. ao et al. (2003) tested ExG, NDI, and the modified hue for eparating plant material from different backgrounds (soil and ithered plant residue).”
• Current and future applications of statistical machine learning algorithms for agricultural machine vision systems (2019, background): “…system (Shearer and Holmes, 1990; Zhang and Chaisattapagon, 1995; Meyer et al., 1998; Lee et al., 1999; Perez et al., 2000; Burks et al., 2000; Gebhardt et al., 2006; Okamoto et al., 2007; Piron et al., 2008 and 2009; Chang et al., 2012; Kazmi et al., 2015; Rehman, 2017; Rehman et al., 2018).”