Tropical Fruit Leaf Disease Detection Dataset: Jujube, Star Fruit, and Guava

This dataset comprises original 1602 images & augmentation 7885 images of jujube, star fruit, and guava leaves, categorized into healthy and diseased labels. It is specifically designed for the development and training of machine learning models aimed at early disease detection in tropical fruit crops. The dataset includes various types of leaf diseases, making it a valuable resource for researchers in plant pathology and agricultural technology. It offers a solid foundation for advancing automated systems to aid in crop management and improve sustainable farming practices.

Jujube Leaf:

Jujube Original data:
Defect Jujube leaf:124
Healthy Jujube Leaf:227
Insect Feeding:177
Leaf Curl:33

Jujube Augmentation data:
Defect Jujube leaf:620
Healthy Jujube Leaf:1010
Insect Feeding:885
Leaf Curl:165

Star Fruit Leaf:

Star Fruit Original data:
Defect Star Fruit Leaf:183
Healthy Star Fruit Leaf:298
Insect Feeding:95
Star Fruit old yellow leaf:68

Star Fruit Augmentation data:
Defect Star Fruit Leaf:915
Healthy Star Fruit Leaf:1490
Insect Feeding:475
Star Fruit old yellow leaf:340

Guava Leaf:

Guava Original data:
Defect Guava leaf:158
Fungal leaf: 39
spot disease on Guava leafHealthy Guava leaf:200

Guava Augmentation data:
Defect Guava leaf:790
Fungal leaf: 195
Spot disease on Guava leafHealthy Guava leaf:1000

Purpose:
The purpose of this research is to develop an efficient and accurate system for detecting diseases in jujube, star fruit, and guava leaves using advanced image processing and machine learning techniques. By identifying diseases early, this study aims to enhance crop management, minimize agricultural losses, and promote sustainable farming practices.