Artificial intelligence methodologies for sorting of medicinal plants

Abdulhamid Tahir Hamid, Tabrez Ahmad, Shafiu Muhammad Tahir, Sonika Gupta, Mucumbitsi Joseph

Abstract



In this Research, we propose some innovative methodologies for sorting of medicinal plants.
The recommendedmethodologiesdiscover shape and texture properties of leaves. The concept of unclear theory and symbolic data analysis has been exploited for effective characterization and efficient representation of leaves. A chi-square distance measure and a symbolic resemblance measure have been extended to foundcloseness between leaves based on which the task of clustering and sorting is accomplished. Fusion of shape and texture features and two-stage sorting techniques have also been studied to achieve accurate sorting of medicinal plants.

Refbacks

  • There are currently no refbacks.


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.