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    <responseDate>2026-10-14T03:52:35Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/pmkbyjpf6k.1</identifier>
                <datestamp>2021-01-08T16:16:00Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Krohling, Renato</dc:creator>
    <dc:title>BRACOT - A Brazilian Arabica Coffee Tree images dataset for instance segmentation of coffee leaves</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The dataset constructed contains images of part of Arabica coffee trees affected by biotic stresses. The images were obtained using a smartphone Galaxy S8. The images were collected in September 2019 and March 2020 in the mountain regions of  Santa Maria, Marechal Floriano, state of Espirito Santo, Brazil. The photos were taken in a coffee plantation.  A total of 300 images  of part of Arabica coffee trees were collected, including healthy leaves and diseased leaves, affected by one or more types of biotic stresses: leaf miner, rust, brown leaf spot, and cercospora leaf spot. </dc:description>
    <dc:subject>Agricultural Science</dc:subject>
    <dc:subject>Computer Science</dc:subject>
    <dc:subject>Artificial Intelligence</dc:subject>
    <dc:subject>Image Segmentation</dc:subject>
    <dc:subject>Plant Pathology</dc:subject>
    <dc:subject>Precision Agriculture</dc:subject>
    <dc:subject>Deep Learning</dc:subject>
    <dc:contributor>Tozzi de Souza, João Eduardo </dc:contributor>
    <dc:contributor>Tassis, Lucas Miguel</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/pmkbyjpf6k.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/pmkbyjpf6k.1</dc:identifier>
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    <dc:date>2021-01-08T16:16:00Z</dc:date>
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