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                <identifier>oai:data.mendeley.com/7tg28xns3m.1</identifier>
                <datestamp>2022-05-20T17:48:27Z</datestamp>
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    <dc:creator>XU, KE</dc:creator>
    <dc:title>Multi-modal and multi-view image dataset of weeds  in wheat field </dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>We proposed a Multi-modal and Multi-view Image Dataset of Weeds in Wheat Field (MMDWWF) that can be used for deep learning. The dataset contains wheat and grass images of two modes and nine views, aiming to provide an open, high-quality and larger-scale weeds dataset to promote the development of weeds detection methods in wheat field.</dc:description>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Data Collection in Agriculture</dc:subject>
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    <dc:identifier>doi:10.17632/7tg28xns3m.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/7tg28xns3m.1</dc:identifier>
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    <dc:date>2022-05-20T17:48:27Z</dc:date>
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