A Lightweight Pest Detection Model based on Improved YOLOv8

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of System Control and Information Processing
Published
2025-01-01
DOI
https://doi.org/10.1504/ijscip.2025.10073482
Primary Topic
Fire Detection and Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

A Lightweight Pest Detection Model based on Improved YOLOv8

Junya Liu, Zhijian Yin, Zhou Xin, Zhen Yang et al.
International Journal of System Control and Information Processing
Fire Detection and Safety Systems
article

A Lightweight Pest Detection Model based on Improved YOLOv8

Junya Liu, Zhijian Yin, Zhou Xin, Zhen Yang, Zhoujian Yi
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of System Control and Information ProcessingVol. 4(4)
Openalex Percentile: Top 70%
Fire Detection and Safety Systems
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A Lightweight Pest Detection Model based on Improved YOLOv8 — Junya Liu, Zhijian Yin, et al. · International Journal of System Control and Information Processing (2025) | TGRS Research Map | TGRS