Log in to save to my catalogue

The Classification of Medicinal Plant Leaves Based on Multispectral and Texture Feature Using Machin...

The Classification of Medicinal Plant Leaves Based on Multispectral and Texture Feature Using Machin...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d472c1377b19411a85f09bdbce939f5a

The Classification of Medicinal Plant Leaves Based on Multispectral and Texture Feature Using Machine Learning Approach

About this item

Full title

The Classification of Medicinal Plant Leaves Based on Multispectral and Texture Feature Using Machine Learning Approach

Publisher

Basel: MDPI AG

Journal title

Agronomy (Basel), 2021, Vol.11 (2), p.263

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This study proposes the machine learning based classification of medical plant leaves. The total six varieties of medicinal plant leaves-based dataset are collected from the Department of Agriculture, The Islamia University of Bahawalpur, Pakistan. These plants are commonly named in English as (herbal) Tulsi, Peppermint, Bael, Lemon balm, Catnip, a...

Alternative Titles

Full title

The Classification of Medicinal Plant Leaves Based on Multispectral and Texture Feature Using Machine Learning Approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d472c1377b19411a85f09bdbce939f5a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d472c1377b19411a85f09bdbce939f5a

Other Identifiers

ISSN

2073-4395

E-ISSN

2073-4395

DOI

10.3390/agronomy11020263

How to access this item