IRMKD: an application of instance relation matrix in plant disease recognition

IRMKD can significantly reduce the volume of the model and improve the recognition speed of the model on the premise of slightly reducing the accuracy of the verification set.

Authors

Institutions

Publication Details

Journal
Frontiers in Bioinformatics
Published
2026-01-29
DOI
https://doi.org/10.3389/fbinf.2026.1761574
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IRMKD: an application of instance relation matrix in plant disease recognition

Tengfei Cheng, Jian Su, Jhen-Li Huang
Frontiers in Bioinformatics
Smart Agriculture and AI
article

IRMKD: an application of instance relation matrix in plant disease recognition

Tengfei Cheng, Jian Su, Jhen-Li Huang
article en

Abstract

IRMKD can significantly reduce the volume of the model and improve the recognition speed of the model on the premise of slightly reducing the accuracy of the verification set.

Frontiers in BioinformaticsVol. 6
Guangxi University (CN), Guangxi Science and Technology Department (CN)
Openalex Percentile: Top 74%
Smart Agriculture and AI
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.

IRMKD: an application of instance relation matrix in plant disease recognition — Tengfei Cheng, Jian Su, et al. · Frontiers in Bioinformatics (2026) | TGRS Research Map | TGRS