Carambola Disease Recognition Dataset

Published: 13 November 2023| Version 1 | DOI: 10.17632/k8c4g2mphp.1
Md Mafiul Hasan Matin Mafi,


1. The scientific name of camranga is Averrhoa carambola Linn; the English name is Chinese gooseberry, or Carambola. It is a fruit tree belonging to the genus Averrhoa in the Oxalidaceae family. It is native to tropical Southeast Asia. 2. Camranga is a perennial green fruit of a small to medium-sized tree. The tree grows 15–25 feet tall with densely branched, spreading limbs and compound leaves that are 1-3 inches long. The fruit has a smooth, dark green skin. It is 3-6 inches in diameter and is angular in shape when mature. The fruit is green when unripe and turns yellow when ripe. Carambola can have a sour or tangy taste. Some trees bear fruit multiple times a year or consistently throughout the year. It is a good source of vitamins A and C. The fruit is typically available from September to January. 3. The whole fruit can be eaten, including the thin skin. Its organic acids help prevent cancer in the digestive system. Tannins in the juice of the leaves and unripe fruit assist in preventing the accumulation of blood clots. It is used as a primary detoxifier. The dried fruit is used for fever. Due to its cooling and tangy nature, it works as an effective remedy for heat-related issues, coughs, and as an anti-flatulent. Consuming camranga helps improve appetite and digestion. 4. Protecting camranga from pests is crucial for a successful fruit harvest. There are various pests that can attack camranga plants, and farmers need to take measures to safeguard their fruit crops. This may involve using pesticides, implementing integrated pest management techniques, or adopting organic farming methods to minimize the use of chemicals and ensure healthy crop yields. 5. Diseases in fruit crops are a widespread problem in agricultural production, and they have an adverse impact on the quality and productivity of the crops. Due to non-biological environmental factors, camranga diseases adversely affect the yield and quality of camranga, causing significant economic losses to farmers. The traditional identification of crop diseases is often time-consuming, labor-intensive, ineffective, and subjective. 6. In recent times, computer vision has shown great promise in conducting the classification and identification tasks of this kind. 7. A large dataset of nine different carambola classes—Healthy Fruit, Healthy Leaf, Stem Borer Disease, Anthracnose Disease, Leaf Insect Pest Disease, Early Blight Disease, Hooded Hopper Insect Disease, Bed Bugs Disease, and Fruit Borer Disease—is shown in order to create machine vision-based algorithms. 8. In reality, 559 images of carambola were initially collected from the field. Subsequently, to increase the quantity of data points, various image processing techniques were applied, such as shifting, flipping, zooming, shearing, brightness enhancement, and rotation, resulting in a total of 3913 augmented images derived from the original images.



Daffodil International University, Jahangirnagar University


Agricultural Science, Computer Vision, Image Processing, Image Classification, Deep Learning