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A computational approach to plant leaves identification

Babatunde, O., Armstrong, L., Leng, J. and Diepeveen, D. (2014) A computational approach to plant leaves identification. In: 9th Conference of the Asian Federation for Information Technology in Agriculture (AFITA) 2014, 29 September - 2 October 2014, Perth, Western Australia.

Abstract

The manual classification of plants’ species based on images of their leaves is timeconsuming and prone to human error. It also requires expert in specific knowledge agricultural domain. The essence of computer-based plants classification system is to augment the manual type so as to increase speed, efficiency, and accuracy of recognition. This study shows the basic principles behind the application of image processing techniques in agriculture. It shows how descriptors are extracted from the images of plant species and further processed for automated image classification of plant species.

Publication Type: Conference Item
Murdoch Affiliation: School of Veterinary and Life Sciences
Conference Website: http://asicta.org/AFITA2014/
Notes: Poster abstract
URI: http://researchrepository.murdoch.edu.au/id/eprint/25993
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