A computerised key for seed identification
Paper
Paper/Presentation Title | A computerised key for seed identification |
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Presentation Type | Paper |
Authors | Gupta, Madan (Author), George, Doug (Author) and Basnet, Badri Bahadur (Author) |
Journal or Proceedings Title | Proceedings of the 27th International Seed Testing Association Congress (ISTA 2004): Towards the Future in Seed Production, Evaluation and Improvement |
Number of Pages | 8 |
Year | 2004 |
Place of Publication | Bassersdorf, Switzerland |
ISBN | 3906549446 |
Conference/Event | 27th International Seed Testing Association Congress (ISTA 2004) |
Event Details | 27th International Seed Testing Association Congress (ISTA 2004) Event Date 13 to end of 24 May 2004 Event Location Budapest, Hungary |
Abstract | Australian Quarantine and Inspection Service (AQIS) regulates the quarantine requirements regarding seed imports in Australia. There are a number of seed testing laboratories in Australia which are currently servicing AQIS needs 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 will be helpful to quarantine officers as well as seed analysts working in seed testing laboratories throughout Australia. It can also be used as an educational tool by agricultural scientists, students and others interested in seeds. |
Keywords | quarantine; prohibited seeds; seed testing; plant disease; Lucid |
ANZSRC Field of Research 2020 | 410302. Biological control |
460103. Applications in life sciences | |
409901. Agricultural engineering | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | No affiliation |
University of Queensland | |
Department of Surveying and Land Information |
https://research.usq.edu.au/item/9zx90/a-computerised-key-for-seed-identification
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