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- W2890177826 abstract "Abstract We proposed a deep convolutional network aimed at detection of single grapes of white varieties in low-resolution colour images. With accuracy, precision and recall at 97.35 %, 96.53 %, and 98.27 %, the proposed grape detector is a state of the art solution. The detector is intended for practical applications that require high exactitude, such as in the process of yield estimation." @default.
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- W2890177826 date "2018-01-01" @default.
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- W2890177826 title "DeepGrapes: Precise Detection of Grapes in Low-resolution Images" @default.
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- W2890177826 doi "https://doi.org/10.1016/j.ifacol.2018.07.151" @default.
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