Gradient-guided boundary-aware selective scanning with multi-scale context aggregation for plant lesion segmentation

By coupling scale robustness with boundary precision in a single architecture, GARDEN delivers accurate and reliable plant lesion segmentation. This method effectively addresses key challenges in the field, offering a robust solution for automated disease analysis under challenging real-world conditions.

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Publication Details

Journal
Frontiers in Plant Science
Published
2025-12-23
DOI
https://doi.org/10.3389/fpls.2025.1727075
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
3.50
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article

Gradient-guided boundary-aware selective scanning with multi-scale context aggregation for plant lesion segmentation

Zidan Zhu, Jia Guo, T Li, Tianhua Yang et al.
2 citations
Frontiers in Plant Science
Smart Agriculture and AI
3.50
article

Gradient-guided boundary-aware selective scanning with multi-scale context aggregation for plant lesion segmentation

Zidan Zhu, Jia Guo, T Li, Tianhua Yang, Feihe Shao, Guanqun Sun, Junyi Xin, Yizhi Pan
article en
2 citations

Abstract

By coupling scale robustness with boundary precision in a single architecture, GARDEN delivers accurate and reliable plant lesion segmentation. This method effectively addresses key challenges in the field, offering a robust solution for automated disease analysis under challenging real-world conditions.

Frontiers in Plant ScienceVol. 16
Japan Advanced Institute of Science and Technology (JP), Hosei University (JP), Hangzhou Medical College (CN)
Zero hunger
Openalex Percentile: Top 7%
Smart Agriculture and AI
3.50
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Gradient-guided boundary-aware selective scanning with multi-scale context aggregation for plant lesion segmentation — Zidan Zhu, Jia Guo, et al. · Frontiers in Plant Science (2025) | TGRS Research Map | TGRS