Wheat ear counting using K-means clustering segmentation and convolutional neural network
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DOI: 10.1186/s13007-020-00648-8
Abstract: Background Wheat yield is influenced by the number of ears per unit area, and manual counting has traditionally been used to estimate wheat yield. To realize rapid and accurate wheat ear counting, K-means clustering was… read more here.
Keywords: ear counting; wheat; means clustering; wheat ear ... See more keywords