基于对比学习的番茄叶片病害识别研究

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中图分类号：TP391.4 文献标识码：A 文章编号：2096-4706（2025）11-0043-06

Research on Tomato Leaf Disease Recognition Based on Contrastive Learning

HUANG Zhongping (SchoolofComputerScienceandEnginering,Anhui UniversityofScienceandTechnology,Huainan2320o,China)

Abstract: In view of the current situation that traditional Deep Learning models exhibit low recognitionaccuracy and limited generalizationabilityintheprocessoftomatoleafdiseaserecognition,thispaperproposesarecognitionmodelbased on the Supervised Contrastive Leaming method.The model proposes the AMECA module based on Channel Atention,which efectivelycapturesthedependenciesamongchanels,ehances themodel'schannelfusioabilityandimprovesthereogition performance.TheAMECAmoduleisintegratedintoResNet18modelasanimagefeatureextractor,andahigh-precisiontomato leafdiseaserecognitionmodel is trained through the Supervised ContrastiveLeamingmethod.The experimentalresultsonthe tomato leaf disease dataset show that the accuracy of the model reaches 99.198% ,which is 3.208% higher than that of the original ResNet18 model.Compared with someother traditionalConvolutional Neural Networks,ithas higher recognitionaccuracyand can beterrecognizetomato leaf diseases.Itisapplicabletotomato leafimages obtained innaturalscenes,anddemonstrates strong practicability.

Keywords: Attention Mechanism;tomato leaf disease recognition; image recognition; Contrastive Learning

0 引言

番茄是全球栽培最广、消费量最大的蔬菜作物，中国是世界上最大的番茄生产和消费国之一，番茄生产是农民增收致富和出口创汇的重要途径[]。（剩余12697字）