Review on Automatic Plant Identification Using Computer Vision Approaches

11th Curtin University Technology, Science and Engineering (CUTSE) International Conference

工业技术（总论）

Pang, Po Ken^1 ; Lim, King Hann^1

Department of Electrical and Computer Engineering Curtin University Malaysia, Sarawak, Miri

98009, Malaysia^1

关键词: Biodiversity conservation;    Computer vision techniques;    Environmental conservation;    Plant identification;    Plant species identification;    Research and development;    Species identification;    Time consumption;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/495/1/012032/pdf
DOI  :  10.1088/1757-899X/495/1/012032

学科分类：工业工程学

来源: IOP

【 摘 要 】

Plants are crucial resources on the Earth for ecological living habitat. However, the rapid loss of plant species has alerted the globe with the rising awareness of biodiversity conservation. ReThe need of plant identification provides an essential biologist information for plant research and development. It has brought significant impact on environmental conservation and exploration. Nevertheless, it requires species identification skills, high time consumption on study the species and usage of specific botanical terms. The knowledge of plant identification is not only for botanist and plant ecologists, but it is also useful for society, from professionals to the general public. The challenges of plant identification is the complexity of gaining plant species knowledge. Currently, with relevant technologies (digital cameras, mobile devices and remote access to databases) and computer vision techniques, it have created an automated plant identification to ease the society in plant identification. The aim of this paper is to document an analysis and comparison of studies between two types computer vision approaches for plant species identification and the features, i.e., shape, texture, colour, margin, and vein structure. It is useful to researchers in the fields for ongoing researches and comparable analyses of applied methods.