Vol. 12, Issue 6 (2023)

Author(s):
S Sridevy, M Nirmala Devi, M Sankar and Nivas Raj Moorthi

Abstract:
Identification of the plant species is crucial for supporting diversified utilities and applications regarding the biodiversity conservation, Ecological research, taxonomical studies and related systematics, among others. Concerning the difficulties associated with the plant species identification by a non-botanist group, several of the plant species identification framework are being developed and optimized. Lack of an exclusive global consortium group developing the framework might help in increasing the identification accuracies, but are subjected to restrictions concerning computational load associated with the taxonomic complexity, regional variations of the plant species, besides identifying species of convergent evolution. Image processing techniques provides the capabilities for discriminating species through the implication of several learning algorithms coupled with the computer vision. In general, most of the surveyed framework extended their functionalities only at the local or regional level. Further, in regard to the applicability of the framework, most of the system were disseminated as mobile application, for real-time application. This paper provides a comprehensive review on the image pre-processing techniques that can be implicated for the plant species identification.