A novel computer vision based neutrosophic approach for leaf disease identification and classification

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2019 English Publisher:Elsevier BVJournal:Measurement, volume 135, pages 782-794 (issn: 0263-2241,

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Authors: Gittaly Dhingra; Vinay Kumar; Hem Dutt Joshi;

doi: 10.1016/j.measurement.2018.12.027 , 10.5281/zenodo.3047610 , 10.5281/zenodo.3047611

A novel computer vision based neutrosophic approach for leaf disease identification and classification

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Abstract

The natural products are inexpensive, non-toxic, and have fewer side effects. Thus, their demand especially herbs based medical products, health products, nutritional supplements, cosmetics etc. are increasing. The quality of leafs defines the degree of excellence or a state of being free from defects, deficits, and substantial variations. Also, the diseases in leafs possess threats to the economic, and production status in the agricultural industry worldwide.

Related Organizations

Thapar University
India

Keywords

Neutrosophic logic

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