基于遷移學(xué)習(xí)的MobileViT-CBAM鮮煙葉成熟度識(shí)別模型研究
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中圖分類號(hào)：S572；S126 文獻(xiàn)標(biāo)識(shí)碼：A文章編號(hào)：1007-5119（2025）02-0093-08
1.，青島266101；2.中國(guó)農(nóng)業(yè)科學(xué)院研究生院，北京100081；3.江西省煙草公司撫州市公司，江西撫州344000；4.江西省煙草公司吉安市公司，）
MobileViT-CBAM Model for Fresh Tobacco Leaf Maturity Recognition Based on Transfer Learning
ZHAO Panzhen12, WANG Songfeng1*, QI Fei3, HU Qiang3, WANG Aihual, LI Yachun4, MENG Lingfeng1, YIN Dong?, DUAN Shijiang4*, WANG Zhisheng4
(1.InstituteofTobacoResearchofChinese AcademyofAgriculturalSciences/KeyLaboratoryofTobaccoBiologyandProcesing
MinistryofAgricultureandRuralAfairs,Qingdao266101,China;2.GraduateSchoolofChineseAcademyofAgriculturalSciences
Beijing10oo81,Chia;3.FuzhoBranchofJngxiProvincialobaccoompanyuzhou34o,Jangxi,China; 4.Jaach ofJiangxiProvincial Tobacco Company,Ji'an343oo9, Jiangxi, China)
Abstract:Toestablishoreeconomicalandeientodestructiveintelligentrecogitionthnologyfortobaccleafmaturitya lightweight network modelMobileVi-CBAMonmobile devices was constructed.Firstly,adatasetwasbuiltbycolecting imagesof the middle andupper leaves of‘Yunyan87withdiferent maturity.The CBAMatentionmechanismmodule wasintroduced into the MobileViTstructuretancethefatureexpresioabilityoffreshtobaccoleafmaturitymages.econdlyteginalactiation function Swish wasreplaced with thesmoother SMUfunction tohelpthemodelconverge faster.Finaly,transferlearning was employedtoimprovethetrainingeficiencyandgeneralizationabilityof temodelandachievetheclasificatiooffreshtobacoleaf maturity in complex field environment.Results showed that MobileViT-CBAM exhibited an accuracy of 9 2 . 8 1 % inmaturity clasificationoffreshtbacoeaves,wichissignificantlysperiortotemodelsofG16,ResNet4,VisionTrasforin Transformer,MobileNetV2,andMobileViT.TheproposedMobileVi-CBAMmodelcaneectivelyidentifythematurityegreeof tobacco leaves,providing technical support for the visual system of inteligent tobacco harvesting equipment.
(eywords: maturity of tobacco fresh leaf; lightweight; classfication model; attention mechanism
適宜的鮮煙葉成熟度是保證煙葉烘烤質(zhì)量的必要條件，直接影響烤后煙葉的外觀、評(píng)吸及香氣品質(zhì)[1-2]。（剩余18309字）