Automatic Fruit Grading and Classification System Using Computer Vision: A Review

• Published in: 2015 Second International Conference on Advances in Computing and Communication Engineering pp. 598 - 603
• Main Authors: Seema, Kumar, A., Gill, G. S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2015
• Subjects: Accuracy; Agriculture; Computer vision; Feature extraction; Fruit grading; Image color analysis; morphological features; Shape; texture
• ISBN: 9781479917334; 1479917338
• DOI: 10.1109/ICACCE.2015.15

Automation in agriculture comes into play to increase productivity, quality and economic growth of the country. Fruit grading is an important process for producers which affects the fruits quality evaluation and export market. Although the grading and sorting can be done by the human, but it is slow, labor intensive, error prone and tedious. Hence, there is a need of an intelligent fruit grading system. In recent years, researchers had developed numerous algorithms for fruit sorting using computer vision. Color, textural and morphological features are the most commonly used to identify the diseases, maturity and class of the fruits. Subsequently, these features are used to train soft computing technique network. In this paper, use of image processing in agriculture has been reviewed so as to provide an insight to the use of vision based systems highlighting their advantages and disadvantages.