Seed identification using a computerised database
Article
Article Title | Seed identification using a computerised database |
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ERA Journal ID | 5326 |
Article Category | Article |
Authors | Gupta, Madan (Author), George, Doug (Author) and Basnet, Badri Bahadur (Author) |
Journal Title | Seed Science and Technology |
Journal Citation | 33 (3), pp. 647-654 |
Number of Pages | 8 |
Year | 2005 |
Place of Publication | Bassersdorf, Switzerland |
ISSN | 0251-0952 |
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. |
Keywords | quarantine; prohibited seeds; Lucid; customs |
ANZSRC Field of Research 2020 | 461008. Organisation of information and knowledge resources |
460599. Data management and data science not elsewhere classified | |
300403. Agronomy | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | No affiliation |
University of Queensland | |
Faculty of Engineering and Surveying |
https://research.usq.edu.au/item/9zx4x/seed-identification-using-a-computerised-database
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