Pivotal techniques of cotton-harvest robots were summarized, including image segmentation, features generation, artificial classifiers and performances evaluation. Solutions based on machine vision and pattern recognition were analyzed to distinguish ripe from under-ripe/over-ripe cottons, and rank cottons according to government grading standards.
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Wang, L., Ji, C. (2008). Summary of Pivotal Technique of Cotton-harvest Robot. In: Li, D. (eds) Computer And Computing Technologies In Agriculture, Volume II. CCTA 2007. The International Federation for Information Processing, vol 259. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77253-0_98
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DOI: https://doi.org/10.1007/978-0-387-77253-0_98
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