Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/2336
Title: | Plant recognition system based on Neural Networks |
Authors: | Rankothge, W. H Dissanayake, D. M. S. B Gunathilaka, U. V. K. T Gunarathna, S. A. C. M Mudalige, C. M Thilakumara, R. P |
Keywords: | Plant recognition recognition system Neural Networks system based |
Issue Date: | 23-Jan-2013 |
Publisher: | IEEE |
Citation: | W. H. Rankothge, D. M. S. B. Dissanayake, U. V. K. T. Gunathilaka, S. A. C. M. Gunarathna, C. M. Mudalige and R. P. Thilakumara, "Plant recognition system based on Neural Networks," 2013 International Conference on Advances in Technology and Engineering (ICATE), 2013, pp. 1-4, doi: 10.1109/ICAdTE.2013.6524735. |
Series/Report no.: | 2013 International Conference on Advances in Technology and Engineering (ICATE);Pages 1-4 |
Abstract: | With the evolution of technologies, people have adopted their day today lives to utilize the benefits of highly advanced technologies. Artificial Intelligence and Neural Networks are playing major roles in this process and they have been involved in fields of medicine, automobiles, aeronautical science, military and many more. Unfortunately very little concern is devoted to the botanical science field, especially in taxonomic researches of plants. Even today, identification and classification of unknown plant species are performed manually by expert personnel who are very few in number. It takes a long time and the results are not very accurate. Advanced Plant Identification System (APIS) is an intelligent system which has the ability to identify tree species from photographs of their leaves and it provides more accurate results within less time. |
URI: | http://rda.sliit.lk/handle/123456789/2336 |
ISBN: | 978-1-4673-5619-0 |
Appears in Collections: | Research Papers Research Papers - Department of Electrical and Electronic Engineering Research Papers - SLIIT Staff Publications |
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Plant_recognition_system_based_on_Neural_Networks.pdf Until 2050-12-31 | 776.21 kB | Adobe PDF | View/Open Request a copy |
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