We use a few cookies

Essential cookies keep the library working. With your permission, we'd also like to use analytics to see what's useful and improve the experience. Read our Privacy Policy or Cookie Policy.

Skip to main content
Home/e-Resources/Computer Science & Information Technology/A survey of computer-based vision systems for automatic identification of plant species
PeriodicalsComputer Science & Information Technology

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

Checking your access to this record.

Abstract & Overview

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.

Cite this record

Oluleye Hezekiah Babatunde, Leisa Armstrong, Jinsong Leng, Dean Diepeveen (2015). A survey of computer-based vision systems for automatic identification of plant species. Journal of Agricultural Informatics, 6(1). https://doi.org/10.17700/jai.2015.6.1.152

Copy in another style

Babatunde, O. H., Armstrong, L., Leng, J., & Diepeveen, D. (2015). A survey of computer-based vision systems for automatic identification of plant species. Journal of Agricultural Informatics, 6(1). https://doi.org/10.17700/jai.2015.6.1.152
Author names are used as deposited, so check their order before you submit.

Metadata is harvested from open-access indexes and can be incomplete. Check a citation against the published version before relying on it — see our open access & attribution policy.