Orange fruit and leaf diseases
- Citation Author(s):
-
Benjamin Doh (Jiangsu University, China)
- Submitted by:
- Benjamin Doh
- Last updated:
- DOI:
- 10.21227/9w43-q565
- Data Format:
126 views
Abstract
These folders contain images showcasing various aspects of orange fruit and leaf diseases, including black spot, greening, scap, canker diseases, melanose, and healthy leaves. The dataset serves as a valuable resource for research, machine learning model training, and analysis in the field of citrus diseases and nutrient imbalances. With an impressive accuracy of 99.77% and a minuscule misclassification rate of 0.23%, the classification model used with this dataset demonstrates exceptional performance, enabling accurate identification and classification of different orange tree leaf conditions. This comprehensive collection of images offers insights and opportunities for understanding and addressing the complexities of orange tree health.
Instructions:
These folders contain images showcasing various aspects of orange fruit and leaf diseases, including black spot, greening, scap, canker diseases, melanose, and healthy leaves. The dataset serves as a valuable resource for research, machine learning model training, and analysis in the field of citrus diseases and nutrient imbalances. With an impressive accuracy of 99.77% and a minuscule misclassification rate of 0.23%, the classification model used with this dataset demonstrates exceptional performance, enabling accurate identification and classification of different orange tree leaf conditions. This comprehensive collection of images offers insights and opportunities for understanding and addressing the complexities of orange tree health.
Dataset