Evidence map›Paper›PMID 39830620›Full record

ArticleData in brief2025

BananaImageBD: A comprehensive banana image dataset for classification of banana varieties and detection of ripeness stages in Bangladesh.

Md Hasanul Ferdaus, Rizvee Hassan Prito, Ahmed Abdal Shafi Rasel, Masud Ahmed, Md Jahid Hassan Saykot, Shanjida Sultan Shanta, Sonali Akter, Ankan Chandra Das, Mohammad Manzurul Islam, Mahamudul Hasan and 1 more

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Md Hasanul FerdausDepartment of Computer Science and Engineering, East West University, Dhaka, Bangladesh.
Rizvee Hassan PritoDepartment of Computer Science and Engineering, East West University, Dhaka, Bangladesh.
Ahmed Abdal Shafi RaselDepartment of Computer Science and Engineering, East West University, Dhaka, Bangladesh.
Masud AhmedDepartment of Agricultural Extension, Ministry of Agriculture, Bogura, Bangladesh.
Md Jahid Hassan SaykotDepartment of Computer Science and Engineering, East West University, Dhaka, Bangladesh.
Shanjida Sultan ShantaDepartment of Computer Science and Engineering, East West University, Dhaka, Bangladesh.
Sonali AkterDepartment of Computer Science and Engineering, East West University, Dhaka, Bangladesh.
Ankan Chandra DasDepartment of Computer Science and Engineering, East West University, Dhaka, Bangladesh.
Mohammad Manzurul IslamDepartment of Computer Science and Engineering, East West University, Dhaka, Bangladesh.
Mahamudul HasanDepartment of Computer Science and Engineering, East West University, Dhaka, Bangladesh.
Md Sawkat AliDepartment of Computer Science and Engineering, East West University, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bananas are among the most widely consumed fruits globally due to their appealing flavor, high nutritional value, and ease of digestion. In Bangladesh, bananas hold significant agricultural importance, being one of the most extensively cultivated fruits in terms of land coverage and ranking third in production volume. The banana image dataset presented in this article includes clear and detailed images of four common banana varieties in Bangladesh: Sagor Kola (

Indexed as

Computer visionDeep learningFood processingHorticultureImage classificationMachine learningObject detectionPrecision agriculture

Identifiers

PMID39830620
PMCPMC11742353

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.