Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

The results show that the improved MSW-YOLOv8n-Seg model is optimal, and it suitable for instance segmentation scenarios with high real-time performance and can provide effective exploration for automated cherry tomato fruit picking.

Authors

ronghui miao
Zhiwei Li

Institutions

Shanxi Agricultural University (CN)
Jinzhong University (CN)

Publication Details

Journal: Frontiers in Plant Science
Published: 2026-01-08
DOI: https://doi.org/10.3389/fpls.2025.1731580
Primary Topic: Smart Agriculture and AI
Type: article
Field-Weighted Citation Impact: 0.00

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article

Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

ronghui miao, Zhiwei Li

Jan 8, 2026

Frontiers in Plant Science

Smart Agriculture and AI

article

Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

ronghui miao, Zhiwei Li

January 8, 2026article en

Abstract

Frontiers in Plant ScienceVol. 16

Shanxi Agricultural University (CN), Jinzhong University (CN)

Life in Land

Openalex Percentile: Top 94%

Smart Agriculture and AI

DOI Open Access PDF OpenAlex

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Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg — ronghui miao, Zhiwei Li · Frontiers in Plant Science (2026) | TGRS Research Map | TGRS