Classification and Analysis of Mushrooms with Machine Learning and Data Mining

It is advised that we consume mushrooms as part of our diet because they are rich in essential nutrients, proteins, minerals, and vitamins. Due to their comparable qualities and abundance, it can be difficult to distinguish between edible and dangerous mushrooms. Data mining methods, specifically classification, can be used to identify the type of mushrooms by helping to uncover crucial patterns from millions or even billions of data records. Existing research on mushroom classification focuses on applying ML techniques separately, and certain algorithms perform better in terms of accuracy than others. There is a paucity of research on mushroom classification. Based on this research, an integrated model was suggested, which would merge the decisions produced by the most accurate techniques into a single decision rather than treating them independently.

Authors

Publication Details

Journal
Advanced International Journal of Multidisciplinary Research
Published
2026-10-29
DOI
https://doi.org/10.62127/aijmr.2026.v04i05.1567
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classification and Analysis of Mushrooms with Machine Learning and Data Mining

Pravesh Kumar, Rohitashwa Pandey
2 links
Advanced International Journal of Multidisciplinary Research
Data Mining and Machine Learning Applications
article

Classification and Analysis of Mushrooms with Machine Learning and Data Mining

Pravesh Kumar, Rohitashwa Pandey
article en

Abstract

It is advised that we consume mushrooms as part of our diet because they are rich in essential nutrients, proteins, minerals, and vitamins. Due to their comparable qualities and abundance, it can be difficult to distinguish between edible and dangerous mushrooms. Data mining methods, specifically classification, can be used to identify the type of mushrooms by helping to uncover crucial patterns from millions or even billions of data records. Existing research on mushroom classification focuses on applying ML techniques separately, and certain algorithms perform better in terms of accuracy than others. There is a paucity of research on mushroom classification. Based on this research, an integrated model was suggested, which would merge the decisions produced by the most accurate techniques into a single decision rather than treating them independently.

Advanced International Journal of Multidisciplinary ResearchVol. 4(5)
Openalex Percentile: Top 6%
Data Mining and Machine Learning Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon