A survey of computer-based vision systems for automatic identification of plant species
Document Type
Article
Publication Date
1-13-2015
Journal Title
Journal of Agricultural Informatics
ISSN
ISSN 2061-862X
Keywords
Precision Agriculture, Plant Species Classification, Image Processing, Artificial Intelligence, Computational Morphometrics
Disciplines
Agricultural Science | Agronomy and Crop Sciences
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.
Recommended Citation
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
