Evidence map›Paper›PMID 39507599›Full record

ArticleData in brief2024

Comprehensive smartphone image dataset for bean and cowpea plant leaf disease detection and freshness assessment from Bangladesh vegetable fields.

Mahamudul Hasan, Raiyan Gani, Mohammad Rifat Ahmmad Rashid, Raka Kamara, Taslima Khan Tarin, Sheikh Fajlay Rabbi

Abstract read
In one paragraph

Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mahamudul HasanDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
Raiyan GaniDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
Mohammad Rifat Ahmmad RashidDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
Raka KamaraDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
Taslima Khan TarinDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.
Sheikh Fajlay RabbiDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agriculture greatly impacts Bangladesh's economy, and vegetable cultivation plays a significant role in Agriculture by providing nourishment, and food security as well as improving the economy. The necessity of food production is growing similarly to the population growth. The farmers of Bangladesh are working hard to meet this need for food production and to gain yields. However, every year the farmers face a significant amount of loss in production due to the attack of different diseases and viruses due to the lack to technological development. The reason behind most of these losses is the lack of knowledge about diseases and being unable to detect the diseases early. Therefore, the early detection of plant disease is significant in balancing the country's economy and preventing undesirable losses. To bring a solution to this problem our dataset provides a total of 4467 images of Beans and Cowpeas leaf images which include different disease classes and fresh leaves. The dataset comprises 2,273 images of Bean and 2,194 images of Cowpea plants where each plant provides 4 classes of different disease along with the healthy leaves. This dataset will assist researchers in identifying plant diseases and farmers as well as contribute to the economy of the country.

Indexed as

Agricultural challengesBean leaf diseaseCowpea leaf diseaseDataset collectionDisease identificationImage analysisLeaf diseases

Identifiers

PMID39507599
PMCPMC11539515

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.