NDLI: A cost effective tomato maturity grading system using image processing for farmers

Content Provider	IEEE Xplore Digital Library
Author	Rupanagudi, Sudhir Rao Ranjani, B.S. Nagaraj, Prathik Bhat, Varsha G.
Copyright Year	2014
Description	Author affiliation: WorldServe Education, Bangalore, India (Rupanagudi, Sudhir Rao; Ranjani, B.S.; Nagaraj, Prathik; Bhat, Varsha G)
Abstract	Maturity grading or in other words classifying the ripeness of a fruit, based on its color or texture, forms a very important process to be carried out by agriculturists and the food processing industry worldwide. Current techniques mainly involve manual inspection, which leads to erroneous classification, which in turn would cause economical losses due to inferior produce entering the market chain. A loss of yield during storage may also occur with this type of classification, since it would lead to wrong expiry date predictions as well. Several methodologies to automate this process exist but involve highly expensive setups and complicated procedures which are not a viable solution, especially for the agriculturists of a developing nation. In this paper we discuss a cost effective maturity grading system for one of the most popular fruit in the world - the tomato. A novel setup utilizing inexpensive material and image processing algorithms to identify the six important stages of tomato ripening have been presented. All algorithms were designed and developed using Simulink, a part of MATLAB 2011b on a 2.5 GHz CPU. An overall 98% accuracy was achieved with respect to maturity grade detection and an execution speed of greater than 7.6 times was obtained in comparison with two other popular methodologies.
Starting Page	7
Ending Page	12
File Size	419149
Page Count	6
File Format	PDF
ISBN	9781479966295
DOI	10.1109/IC3I.2014.7019591
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Image processing Maturity estimation Maturity grading Smart farming Image segmentation Accuracy Image color analysis Tomato grading Lighting Fruit maturity Cameras Growth stages
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Color grading in Tomato Maturity Estimator using image processing technique

Estimation of volume and maturity of sweet lime fruit using image processing algorithm

Machine vision based automatic fruit grading system using fuzzy algorithm

Development of an automatic grading system for green hawthorn leaf using image processing

Image processing for smart farming: Detection of disease and fruit grading

Portable smart sorting and grading machine for fruits using computer vision

Classification of oranges by maturity, using image processing techniques

Dermatological disease diagnosis using color-skin images

An automated machine vision based system for fruit sorting and grading

A cost effective tomato maturity grading system using image processing for farmers

Similar Documents

Color grading in Tomato Maturity Estimator using image processing technique

Estimation of volume and maturity of sweet lime fruit using image processing algorithm

Machine vision based automatic fruit grading system using fuzzy algorithm

Development of an automatic grading system for green hawthorn leaf using image processing

Image processing for smart farming: Detection of disease and fruit grading

Portable smart sorting and grading machine for fruits using computer vision

Classification of oranges by maturity, using image processing techniques

Dermatological disease diagnosis using color-skin images

An automated machine vision based system for fruit sorting and grading

A cost effective tomato maturity grading system using image processing for farmers