NDLI: Application of computer vision and color image segmentation for yield prediction precision

Content Provider	IEEE Xplore Digital Library
Author	Sarkate, R.S. Kalyankar, N.V. Khanale, P.B.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., DSM Coll., Parbhani, India (Khanale, P.B.) \|\| Dept. of Comput. Sci., Yeshwant Coll., Nanded, India (Kalyankar, N.V.) \|\| Dept. of Comput. Sci. & IT, MGM's Coll. of CS & IT, Nanded, India (Sarkate, R.S.)
Abstract	Precision agriculture is finding its roots in India. PA always deals with the accuracy and timely information about agriculture products. With the rapid development of computer hardware and software technology, the application of image processing technology in the agricultural research are playing key role [1]. Also, with the advantages of superior speed and accuracy, computer vision has attracted it as an alternative to human inspection [2]. In this paper, we have described a novel application of computer vision and color image segmentation for automating the precise yield prediction process of gerbera flower yield from the polyhouse images. The purpose of the present study is to design a decision support system that could generate flower yield information and serve as base for management & planning of flower marketing. Current study has applied the color image segmentation technique using threshold, to extract the flowers from the scene. Color is considered a fundamental physical property of agriculture products and foods in information analysis [3]. Using HSV color space and histogram analysis, flower color definition is done. Then by the image segmentation process, flowers were separated from the background & detected in the images. Image set with 75 images were tested with this technique.
Sponsorship	IEEE Uttar Pradesh Sect.
Starting Page	9
Ending Page	13
File Size	613732
Page Count	5
File Format	PDF
ISBN	9781467359870
e-ISBN	9781467359863
DOI	10.1109/ICISCON.2013.6524164
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-09
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Histograms Computer vision Image color analysis Image processing Precision Color Object detection Agriculture Gerbera Yield prediction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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