Guava Fruit Disease Dataset
Home » Dataset Download » Guava Fruit Disease Dataset
Guava Fruit Disease Dataset
Datasets
Guava Fruit Disease Dataset
File
Guava Fruit Disease Dataset
Use Case
Guava Fruit Disease Dataset
Description
Guava Fruit Disease Dataset with 3,784 images for machine learning, featuring Anthracnose, Fruit Flies, and Healthy Fruits for disease detection and research
Description:
Guava (Psidium guajava) is an essential crop in South Asia, particularly in Bangladesh. Known for its high vitamin C and fiber content, guava supports regional economies and nutritional health. However, diseases affecting guava can significantly reduce yields, posing a threat to both agricultural productivity and economic stability. This dataset is developed to facilitate machine learning models aimed at the early detection of diseases in guava fruit, helping protect harvests and mitigate potential losses.
Download Dataset
This dataset contains 473 carefully annotated images of guava fruits, divided into three distinct categories:
- Anthracnose
- Fruit Flies
- Healthy Fruits
Through preprocessing techniques like unsharp masking and CLAHE (Contrast Limited Adaptive Histogram Equalization), the dataset is augmented to a total of 3,784 images, ensuring comprehensive training data for machine learning applications. The images were collected from guava orchards in Rajshahi and Pabna, Bangladesh, during the peak fruit-ripening season in July, a period when the risk of disease is highest. A plant pathologist verified the accuracy of the image classifications.
- Dimensions: 512 x 512 pixels
- Color Mode: RGB
- Format: PNG
- File Size: 300-500 KB
Usage and Applications
This dataset is ideally suited for a range of machine learning and agricultural technology applications, including:
- Automatic Disease Detection: Enabling quick and precise identification of common guava diseases.
- Image Classification: Assisting in supervised learning for agricultural solutions.
- Plant Pathology Research: Advancing studies in plant disease detection and management through image processing techniques.
Citation
Please cite this dataset as:
Amin, Md Al; Mahmud, Md Iqbal; Rahman, Asadullah Bin; Parvin, Mst Aktarina; Mamun, Md Abdulla Al (2024), “Guava Fruit Disease Dataset”, Mendeley Data, V1, doi: 10.17632/bkdkc4n835.1
License and Usability
- License: Attribution 4.0 International (CC BY 4.0)
- Usability: 10/10
- Expected Update Frequency: None
Contact Us
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
Let's Discuss your Data collection Requirement With Us
To get a detailed estimation of requirements please reach us.