华侨大学学报（自然科学版）2026，Vol.47Issue(2)：175-182,8.DOI:10.11830/ISSN.1000-5013.202509059
一种烟草病虫害混合专家检测变换模型
A Mixture-of-Expert Detection Transformation Model for Tobacco Pest and Disease Identification
摘要
Abstract
To solve the challenge of multi-scale object detection in tobacco pest and disease identification under complex field surroundings,a mixture-of-expert detection transformer model is proposed.The model in-tegrates three heterogeneous expert modules according to the different feature processing requirements of to-bacco pest and disease images.At the shallow layer,a cross-stage detail enhancement module is used to strengthen local details and edge features;at the middle layer,an adaptive balancing module is utilized to intel-ligently balances local and contextual information;at the deep layer,a cross-stage efficient state-space mod-ule is designed to effectively model long-range dependencies,thereby achieving hierarchical and dynamic ex-traction of multi-scale pest and disease features.Experimental results show that compared with the baseline model RTDETR-R18,the proposed mixture-of-experts detection transformer model reduces parameters and floating-point operations by 27.4％and 16.3％,respectively,while improving mAP@0.50 from 0.770 to 0.815.关键词
目标检测/检测变换器/混合专家网络/小目标检测/精细化农业/烟草病虫害Key words
multi-scale object detection/detection transformer/mixture-of-expert/small object detection/ag-riculture computer vision/tobacco pest and disease分类
信息技术与安全科学引用本文复制引用
吴少泽,喻小光,陈霞..一种烟草病虫害混合专家检测变换模型[J].华侨大学学报（自然科学版）,2026,47(2):175-182,8.基金项目
国家自然科学基金面上资助项目(62476103) （62476103）
