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

Oluleye Hezekiah Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen

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.

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DOI: 10.17700/jai.2015.6.1.152

Journal of Agricultural Informatics