Citrus Plant Leaves Dataset
Image dataset containing healthy and unhealthy citrus plant leaves for machine learning computer vision image classification and plant disease detection research
About Dataset
This dataset is a curated binary image classification dataset containing healthy and unhealthy citrus plant leaf images. The dataset has been reorganized by merging multiple disease categories into a single Unhealthy class while preserving Healthy as a separate class. It is intended for machine learning computer vision plant disease detection crop monitoring smart agriculture and academic research. The simplified two class structure makes the dataset suitable for supervised learning benchmarking educational projects and rapid model development.
Purpose of Dataset
The Dataset Is Intended For Machine Learning Deep Learning And Computer Vision Tasks Including Binary Image Classification Plant Health Assessment Disease Detection Model Benchmarking And Agricultural Ai Research. It Can Be Used For Academic Projects Hackathons Research Experiments And Educational Demonstrations Related To Smart Farming.
Dataset Metadata
NA
Global
Aquaculture, Livestock and Fisheries
Shlok Pankaj Salunke (Curator)
Unstructured
Static
NA
N.A.
26/06/26 16:59:51
Open
Hosted
Secondary
Curated From Publicly Available Citrus Leaf Images And Reorganized Into Binary Classes For Machine Learning Applications.
Activity Overview
0
0 
71.30 MB 
8
Tags
- AgricultureAI
- Agriculture Domain
- Deep Learning
- Artificial Intelligence
- machine Learning
License Control
NA
Citrus_Plant_Leaves ( 1 directories )
Leaves
2 directories
Data Quality Score Beta
Version Control
Version 1(71.30 MB)
- Shlok Salunke· Today
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Citrus_Plant_Leaves
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Leaves
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