PineappleLeaf-Fruit Dataset: A Constrained Image Collection for Smart Agriculture and AI Research
Published: 28 April 2026| Version 1 | DOI: 10.17632/tv7zfd6yzz.1
Contributors:
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This dataset contains a curated collection of pineapple leaf and fruit images intended to support research in machine learning, computer vision, and precision agriculture. The dataset consists of a total of 2514 images, categorized into three distinct classes: Healthy Leaf, Leaf Spot, and Fruit. The images were collected from a real agricultural environment located in Madhupur Rubber Garden, Gorom Bazar, Madhupur, Tangail, Bangladesh (Latitude: 24.627°N, Longitude: 90.022°E). Data acquisition was conducted over a period from December 2024 to July 2025, under natural field conditions.
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Computer Science, Computer Vision, Image Processing, Machine Learning, Image Classification, Precision Agriculture, Deep Learning, Agriculture