Seed identification using a computerised database

Article


Gupta, Madan, George, Doug and Basnet, Badri Bahadur. 2005. "Seed identification using a computerised database." Seed Science and Technology. 33 (3), pp. 647-654. https://doi.org/10.15258/sst.2005.33.3.12
Article Title

Seed identification using a computerised database

ERA Journal ID5326
Article CategoryArticle
AuthorsGupta, Madan (Author), George, Doug (Author) and Basnet, Badri Bahadur (Author)
Journal TitleSeed Science and Technology
Journal Citation33 (3), pp. 647-654
Number of Pages8
Year2005
Place of PublicationBassersdorf, Switzerland
ISSN0251-0952
1819-5717
Digital Object Identifier (DOI)https://doi.org/10.15258/sst.2005.33.3.12
Web Address (URL)https://www.ingentaconnect.com/content/ista/sst/2005/00000033/00000003/art00012
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.

Keywordsquarantine; prohibited seeds; Lucid; customs
ANZSRC Field of Research 2020461008. Organisation of information and knowledge resources
460599. Data management and data science not elsewhere classified
300403. Agronomy
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Byline AffiliationsNo affiliation
University of Queensland
Faculty of Engineering and Surveying
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