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Sequential support vector machine classification for small-grain weed species discrimination with special regard to Cirsium arvense and Galium aparine
Institution:1. Institute of Geodesy and Geoinformation, Department of Geoinformation, University of Bonn, Germany;2. Institute of Phytomedicine (360), Department of Weed Science, University of Hohenheim, Germany;1. Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Højbakkegaard Alle 13, DK-2630 Taastrup, Denmark;2. Geco Enterprises Ltda, San Vicente T.T., Chile;1. School of Computing, The University of Leeds, LS2 9JT, United Kingdom;2. Institute for Transport Studies, The University of Leeds, LS2 9JT, United Kingdom;3. Ibex Automation Ltd, S35 7DQ, United Kingdom;1. Department of Agrotechnology, College of Abouraihan, University of Tehran, Tehran, Iran;2. Department of Biosystems Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran;1. Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47906, USA;2. Department of Engineering, Faculty of Agriculture, Dalhousie University, 39 Cox Road, Truro, Nova Scotia B2N 5E3, Canada;3. Citrus Research and Education Center, University of Florida, 700 Experiment Station Road, Lake Alfred, FL 33850, USA;1. School of Plant Biology and Institute of Agriculture, The University of Western Australia, Crawley, WA 6009, Australia;2. Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, Toowoomba, Queensland 4350, Australia
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