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                <identifier>oai:data.mendeley.com/jn857kmcnf.1</identifier>
                <datestamp>2024-11-13T15:37:02Z</datestamp>
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    <dc:creator>Mojumdar, Mayen Uddin </dc:creator>
    <dc:title>Carambola Leaf Disease Dataset</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset offers 1,274 images of Averrhoa carambola (starfruit) leaves, capturing various conditions to aid machine learning applications in plant health monitoring and disease detection. Collected from agricultural sites in Bangladesh, it includes seven distinct categories representing typical health challenges faced in starfruit cultivation.

#Dataset:
Algal Leaf Spot: 324 images
Insect Pest: 189 images
Leaf Curl Virus: 67 images
Iron Deficiency: 189 images
Fruits: 18 images
Old: 158 images
Healthy: 329 images

#Purpose:
Supports development of AI-based tools for plant disease detection Enables early intervention and sustainable farming practices
Provides a resource for researchers in agriculture, plant pathology, and AI.</dc:description>
    <dc:subject>Star Fruit</dc:subject>
    <dc:contributor>Islam, MD. Lisan</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/jn857kmcnf.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/jn857kmcnf.1</dc:identifier>
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    <dc:date>2024-11-13T15:37:02Z</dc:date>
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