DocumentCode
1736842
Title
Comparison of Citrus fruit diseases revealing with Data Mining and Image Processing Techniques based on assorted parameters
Author
Devi, M. Renuka ; Kavitha, V.
Author_Institution
SNS Coll. of Technol., Coimbatore, India
fYear
2015
Firstpage
1
Lastpage
4
Abstract
Machine vision has become a key technology in the area of quality control. “Vision systems” is primarily focused on computer vision in the context of inspection of the products such as food, pharmaceuticals. The system can consist of a number of cameras all capturing, interpreting and signaling individually with a control system related to some predefined algorithms. The analysis of citrus fruits using various assorted parameters revealing the diseases afflicting Citrus fruits and isolation of the same using Image Processing and Data Mining Techniques is the core area discussed here with.
Keywords
agricultural products; computer vision; data mining; inspection; citrus fruit diseases; computer vision; data mining; image processing techniques; machine vision; product inspection; Accuracy; Diseases; Image color analysis; Lesions; Machine vision; Shape; Citrus Fruit; Computer Vision; Data Mining; Image Processing; Machine Vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communication and Informatics (ICCCI), 2015 International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-6804-6
Type
conf
DOI
10.1109/ICCCI.2015.7218107
Filename
7218107
Link To Document