CLASSIFICATION OF WEED SPECIES USING COLOR TEXTURE FEATURES AND DISCRIMINANT ANALYSIS

By T. Burks, Scott A. Shearer, F. Payne. 2000

116 citations recorded by the source corpus.

Subfields: Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/8eaff350550be93d5ccbeb46772e78d5cc3be223

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In Plant Science

1. Jianwei Qin
2. D. G. Kim
3. Duke M. Bulanon

Citations in the corpus

• Current and future applications of statistical machine learning algorithms for agricultural machine vision systems (2019, methodology): “…provide a powerful set of tools that applied for different field applications (Nieuwenhuizen et al., 2007; Tagarakis et al., 2013), weed detection (Burks et al., 2000; Pereira et al., 2012; Mursalin and Mesbah-Ul-Awal, 2014; De Rainville et al., 2014), yield prediction (Dey et al., 2012; Liu et…”
• Classification of grapefruit peel diseases using color texture feature analysis (2009, methodology): “(2000)([9]) had shown that classification performances were poor if only hue or saturation information was used in the classification models.”