Publication Type:

Conference Paper

Source:

Procedia Computer Science, Elsevier B.V., Volume 143, p.474-480 (2018)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058292025&doi=10.1016%2fj.procs.2018.10.420&partnerID=40&md5=80abb85cc327801ee13fe39cec73bfc1

Keywords:

Embedded platforms, Geometric feature, image analysis, OpenCV, Plants (botany), Support vector machine classifiers, Support vector machines, Vanilla andamanica, Vanilla planifolia, Wild species

Abstract:

<p>Image analysis approach is adopted for identifying two species of vanilla; a popular spice yielding orchid. Vanilla species namely Vanilla planifolia (cultivated species) and Vanilla andamanica (wild species) were compared using image analysis of their leaves which is otherwise done using plant taxonomical methods, mainly flower morphology. Geometric features of the leaves of the two species were computed and four features were identified for distinguishing these two species. Support Vector Machine classifier was employed to get accurate results. The algorithm was implemented in OpenCV-Java. This facilitates porting the application to an embedded platform which is in progress. The approach is helpful for identifying these two species of Vanilla before flowering. © 2018 The Authors. Published by Elsevier B.V.</p>

Notes:

cited By 0; Conference of 8th International Conference on Advances in Computing and Communications, ICACC 2018 ; Conference Date: 13 September 2018 Through 15 September 2018; Conference Code:142252

Cite this Research Publication

N. K. Ambika and Supriya, P., “Detection of vanilla species by employing image processing approach”, in Procedia Computer Science, 2018, vol. 143, pp. 474-480.