A survey of computer-based vision systems for automatic identification of plant species

Babatunde, O.H., Armstrong, L., Leng, J. and Diepeveen, D.ORCID: 0000-0002-1535-8019 (2015) A survey of computer-based vision systems for automatic identification of plant species. Journal of Agricultural Informatics, 6 (1). pp. 61-71.

Abstract

Plants are unavoidable for the existence of most living things on this planet. There are many needs of both humans and animals that are satisfied by materials from plants. These needs include food, shelter, and medicine. The ability to identify plants is highly important in several applications, including conservation of endangered plant species, rehabilitation of lands after mining activities and differentiating crop plants from weeds. This paper reviews several applications and works that have been made towards computer-based vision systems for automatic identification of plant species. It shows the various techniques alongside their descriptions. It portrays how future researchers in this field (especially precision agriculture or agricultural informatics) may move the knowledge domain forward.

Item Type:	Journal Article
Murdoch Affiliation(s):	School of Veterinary and Life Sciences
Publisher:	Hungarian Association of Agricultural Informatics European Federation for Information Technology in Agriculture, Food and the Environment
URI:	http://researchrepository.murdoch.edu.au/id/eprint/25987

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