Evidence map›Paper›PMID 41140860›Full record

ArticleData in brief2025

Central India Medicinal Plant Dataset (CIMPD).

Rajeev Kumar Singh, Akhilesh Tiwari, Rajendra Kumar Gupta, Satyam Singh Tomar, Muskan, Naresh Kumar Wagri

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rajeev Kumar SinghDepartment of IT, Madhav Institute of Technology and Science DU, Gwalior, MP 474005, India.
Akhilesh TiwariDepartment of CCS&BM, Madhav Institute of Technology and Science DU, Gwalior, MP 474005, India.
Rajendra Kumar GuptaDepartment of CSE, Madhav Institute of Technology and Science, Gwalior DU, MP 474005, India.
Satyam Singh TomarDepartment of IT, Madhav Institute of Technology and Science DU, Gwalior, MP 474005, India.
MuskanDepartment of IT, Madhav Institute of Technology and Science DU, Gwalior, MP 474005, India.
Naresh Kumar WagriDepartment of Materials Science and Engineering, School of Industrial Engineering and Management, KTH Royal Institute of Technology, Stockholm SE 10044, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present scenario, medicinal plants play a crucial role in promoting a healthy lifestyle by protecting against numerous diseases. They also hold significant potential as a source of income, particularly for rural populations across the globe. Plants used for herbal medicine are known as medicinal plants, and each part of these plants may be utilized for medicinal purposes. Further, medicinal plants are beneficial in enhancing the human immune system. In this research, a new medicinal plant named as Central India Medicinal Plant Dataset (CIMPD) has been developed to support significant research in human health. The dataset contains 9130 leaf images (both healthy and unhealthy) from 23 medicinal plant species. These images were collected from various locations in central India. The entire work was carried out over a period of five months, which included plant selection, leaf collection, image capturing, and data organization into folders. This dataset provides comprehensive information, including the botanical name, common name, geographical origin, healthy and unhealthy leaf images, and medicinal uses of the plants. It serves as a valuable resource for research in machine learning, computer vision, and related domains. Additionally, it will enable the development and evaluation of methodologies for disease detection, plant identification, and other relevant applications.

Indexed as

Feature visualizationImage processingLeaf imagesMedicinal plantPlant classificationResNet18

Identifiers

PMID41140860
PMCPMC12552138

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