Jackfruit AgroVision: A Extensive Dataset for Jackfruit Disease and Leaf Disease Detection using Machine Learning
Published: 13 February 2025| Version 1 | DOI: 10.17632/pt647jfn52.1
Contributors:
, , , Description
The JackfruitVision dataset is a comprehensive collection of annotated images of jackfruit leaves and fruits affected by various diseases. Designed for Machine Learning, Deep Learning, and Computer Vision applications, this dataset enables automated disease detection and classification. It supports tasks like image segmentation, multi-class classification, and transfer learning, making it valuable for researchers and agricultural AI solutions.
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Institutions
Daffodil International University
Categories
Computer Vision, Image Processing, Machine Learning, Sustainable Agriculture, Deep Learning, Agriculture