Peer-reviewedCC BYFrontiers in plant science
Chili-Seg: a high-precision detection and instance segmentation model for chili flowers in complex environments
- 1College of Electrical and Mechanical Engineering, Hunan Agricultural University , ,
- 2College of Intelligent Science and Engineering, Beijing University of Agriculture , ,
Related
- An integrated instance segmentation and deep feature fusion model for robust leaf species classification in natural environments
- GCP-YOLO: high-precision detection of tiny chili flowers in complex greenhouse scenes
- A unified RT-DETR–Mask2Former framework for segmentation-guided plant leaf disease detection and classification in real-world agricultural environments
- MorphoDeep enables fast 3D cell instance segmentation by learning cell interfaces and junctions
- Preprocessing strategies for plant disease instance segmentation: annotation efficiency, context signals, and dual-metric evaluation on PlantSeg.
BibTeX
@article{kuang2026chiliseg,
title = {{Chili-Seg: a high-precision detection and instance segmentation model for chili flowers in complex environments}},
author = {Minqiu Kuang and Xiaojian Li and Zhizhen Hu and Dawei Liu and Yang Xiang and Fangping Xie and Yuxuan Zhang and Xu Li},
journal = {Frontiers in plant science},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13658604},
note = {CC BY},
}
RIS
TY - JOUR
TI - Chili-Seg: a high-precision detection and instance segmentation model for chili flowers in complex environments
AU - Minqiu Kuang
AU - Xiaojian Li
AU - Zhizhen Hu
AU - Dawei Liu
AU - Yang Xiang
AU - Fangping Xie
AU - Yuxuan Zhang
AU - Xu Li
PY - 2026
DA - 2026/10/16
JO - Frontiers in plant science
UR - https://europepmc.org/article/PMC/PMC13658604
SN - 1664-462X
ER -