Colour and shape analysis techniques for weed detection in cereal fields

By A. Perez, F. López, J. Benlloch, S. Christensen. 2000

414 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/13754d470d8b5bf060ff42aa5a93b743f8be74a3

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In Ecology

In Plant Science

Citations in the corpus

Automated Crop and Weed Monitoring in Widely Spaced Cereals (2006, methodology): “…necessary to derive a threshold to separate the soil and vegetation components using, for example, the assumption of a bimodal histogram of transformed pixel intensities (Perez et al. 2000); instead, a fixed threshold may be used for the full range of daylight illumination (Marchant et al. 2004).”
Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture (2015, background): “, 2013; Weis & Gerhards, 2007) employing color, shape, and texture features (Guijarro et al., 2011; McCarthy et al., 2010; Pérez et al., 2000; Rumpf et al., 2012; Tellaeche et al., 2011), either taken from a”
Research and development in agricultural robotics: a perspective of digital farming. (2018, background): “A near-ground image capturing and processing technique to detect broad-leaved weeds in cereal crops under actual field conditions has been reported in the work of [121].”
Tracking the structural and functional development of a perennial pepperweed (Lepidium latifolium L.) infestation using a multi-year archive of webcam imagery and eddy covariance measurements (2011, background): “Based on manually taken nadir photographs of individual plants, the goal of many of these studies was to improve distinctions between green plants and soil/residue background prior to image binarization (Perez et al., 2000; Woebbecke et al., 1995).”
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems (2019, background): “…on weed detection for different cropping 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.,…”
Digital repeat photography for phenological research in forest ecosystems (2012, background): “Based on manually taken nadir images of individual plants, the goal of many of these studies was improved distinction between green plants and soil/residue background prior to binarization (Meyer and Neto, 2008; Perez et al., 2000; Woebbecke et al., 1995).”