Seed identification using a computerised database

Gupta, Madan and George, Doug and Basnet, Badri Bahadur (2005) Seed identification using a computerised database. Seed Science and Technology, 33 (3). pp. 647-654. ISSN 0251-0952

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Abstract

Seed testing laboratories worldwide analyse samples for quarantine assessments to prevent the entry of prohibited and restricted seeds. Current practices of identifying seeds by comparing an unknown seed with samples of known seeds or photographs of seeds are time consuming, costly and inefficient. A Seed Identification Key using a computerised database has been developed to identify prohibited and restricted seeds. There are currently 78 prohibited and 47 restricted seeds in the database. Lucid software was used to develop the Key because of its versatility in handling both text and image data. A total of 21 externally visible seed characters were identified as most suitable for development of the Key. Explanatory images and notes are attached to the character states to assist the user in correct selection of the state. The Key may be helpful to quarantine officers as well as seed analysts working in seed testing laboratories. It may also be used as an educational tool by agricultural scientists, students and others interested in seeds.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to paper due to publisher's copyright restrictions.
Depositing User: Ms Leslie Blay
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 18 May 2010 02:39
Last Modified: 19 Jan 2012 07:04
Uncontrolled Keywords: quarantine; prohibited seeds; Lucid; customs
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0807 Library and Information Studies > 080707 Organisation of Information and Knowledge Resources
08 Information and Computing Sciences > 0806 Information Systems > 080604 Database Management
07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070302 Agronomy
Socio-Economic Objective (SEO2008): B Economic Development > 82 Plant Production and Plant Primary Products > 8299 Other Plant Production and Plant Primary Products > 829999 Plant Production and Plant Primary Products not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/7954

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