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

Content Provider	IEEE Xplore Digital Library
Author	Seema Kumar, A. Gill, G.S.
Copyright Year	2015
Description	Author affiliation: Dept. of Instrum., Kurukshetra Univ., Kurukshetra, India (Gill, G.S.) \|\| Dept. of Phys., Nat. Inst. of Technol., Kurukshetra, India (Seema; Kumar, A.)
Abstract	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.
Starting Page	598
Ending Page	603
File Size	187933
Page Count	6
File Format	PDF
ISBN	9781479917334
e-ISBN	9781479917341
DOI	10.1109/ICACCE.2015.15
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-01
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Morphological features Accuracy Image color analysis Shape Fruit grading Feature extraction Agriculture Texture
Content Type	Text
Resource Type	Article

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