Featured Research

from universities, journals, and other organizations

Spot the difference -- oranges and lemons

Date:
March 7, 2013
Source:
Inderscience Publishers
Summary:
A computer recognition system that is 99-percent accurate can identify different fruits and vegetables, even the particular strain of apples or plums, for instance. New research explains how challenging this issue has been until now and shows how it could be used in agricultural science and perhaps to improve efficiency in the growing and food industries as well as at the supermarket.

A computer recognition system that is 99% accurate can identify different fruits and vegetables, even the particular strain of apples or plums, for instance. Research to be published in the International Journal of Applied Pattern Recognition in March explains how challenging this issue has been until now and shows how it could be used in agricultural science and perhaps to improve efficiency in the growing and food industries as well as at the supermarket.

Related Articles


Shiv Ram Dubey and Anand Singh Jalal of GLA University in Mathura, India, have developed an automated image processing system that not only quickly distinguishes between oranges and lemons but can spot different strains of pear, melon, apple and plum. Such a system, given its high accuracy, could be used for sorting and packing different fruits and vegetables. However, it could also be used to speed up supermarket customer checkout where similar but different strains are on sale at different prices, without the need to barcode or otherwise label individual products.

The program developed by the team is trained with a set of images of known fruit and vegetables so that the image analysis software can assign common features to a database. The process involves photographing an image of the different fruits, "removing" the background and then analyzing the image left. They have thus trained their program with 15 different fruits and vegetables including various types of apple, onions, potatoes, oranges, limes, kiwi fruit, and different melons. Tests showed that 99 times out of 100 the software could correctly identify the product in question regardless of whether there were one or more items in the photograph and regardless of differences in lighting.

The team hopes to next extend the system to detect the signs of disease, bruising or other damage, which would allow products of unsalable quality to be removed before they reach the checkout.


Story Source:

The above story is based on materials provided by Inderscience Publishers. Note: Materials may be edited for content and length.


Journal Reference:

  1. Dubey, S.R. and Jalal, A.S. Species and variety detection of fruits and ve getables from images. International Journal of Applied Pattern Recognition, 2013; 1 (1): 108-126

Cite This Page:

Inderscience Publishers. "Spot the difference -- oranges and lemons." ScienceDaily. ScienceDaily, 7 March 2013. <www.sciencedaily.com/releases/2013/03/130307110637.htm>.
Inderscience Publishers. (2013, March 7). Spot the difference -- oranges and lemons. ScienceDaily. Retrieved January 26, 2015 from www.sciencedaily.com/releases/2013/03/130307110637.htm
Inderscience Publishers. "Spot the difference -- oranges and lemons." ScienceDaily. www.sciencedaily.com/releases/2013/03/130307110637.htm (accessed January 26, 2015).

Share This


More From ScienceDaily



More Computers & Math News

Monday, January 26, 2015

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

How Technology Is Ruining Snow Days For Students

How Technology Is Ruining Snow Days For Students

Newsy (Jan. 25, 2015) — More schools are using online classes to keep from losing time to snow days, but it only works if students have Internet access at home. Video provided by Newsy
Powered by NewsLook.com
Sundance Films Tap Into Virtual Reality

Sundance Films Tap Into Virtual Reality

Newsy (Jan. 25, 2015) — Virtual reality headsets offer more experiences for viewers and filmmakers at the Sundance Film Festival. Video provided by Newsy
Powered by NewsLook.com
No, A Google Exec Did Not Predict An Internet Apocalypse

No, A Google Exec Did Not Predict An Internet Apocalypse

Newsy (Jan. 24, 2015) — Earlier this week, a Google exec made headlines for saying "the Internet will disappear," but that doesn&apos;t quite mean what it sounds like. Video provided by Newsy
Powered by NewsLook.com
Tim Cook Made 8 Times Less Than Another Apple Exec In 2014

Tim Cook Made 8 Times Less Than Another Apple Exec In 2014

Newsy (Jan. 23, 2015) — Tim Cook&apos;s total compensation more than doubled in 2014 to $9.2 million, but his pay was still less than four other Apple executives. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:  

Breaking News:

Strange & Offbeat Stories

 

Space & Time

Matter & Energy

Computers & Math

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:  

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile iPhone Android Web
Follow Facebook Twitter Google+
Subscribe RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins