Robotic Weed Control System for Tomatoes

By W. S. Lee, D. Slaughter, D. Giles. Precision Agriculture, 2004

295 citations recorded by the source corpus.

How researchers see this paper

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Advances in Agriculture Robotics: A State-of-the-Art Review and Challenges Ahead (2021, unknown): “In [34] a robotic weed control system for tomatoes is described, based on the Bayesian classifier algorithm, that correctly identified 73.”
Research and development in agricultural robotics: a perspective of digital farming. (2018, methodology): “A real-time intelligent weed control system was introduced in [114] for selective herbicide application to in-row weeds using machine vision and chemical application.”
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems (2019, background): “…were focused 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.,…”