基于顏色分布信息的煙葉煙堿含量預(yù)測模型評估與比較

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關(guān)鍵詞：顏色分布；煙堿預(yù)測；回歸模型； 近鄰；無損檢測中圖分類號：TP391.4；TP181 文獻標(biāo)識碼：A 文章編號：2096-4706（2025）08-0132-07

Abstract： This paper uses optical imaging technology to establish an image dataset of abatch oftobacco leaves with knownnicotinecontent，anduses theneuralnetworkmodelU2-Nettoaccuratelydetecttobaccoleaftargets.Byextractingthe color distributioninformationofthetobaccoleaf targets，four typicalMachineLeamingalgorithmsofRF，XGBoost，MP，and KNNareusedtomaketheregressonpredictionforthenicotinecontentof tobacco leaves，respectively.Theresults indicate that theKNNmodelcanefectivelyutilizecolordistributioninformationtoaccuratelypredictthenicotinecontentoftbaccoleaves. The value of determination coefficient is as high as 9 7 . 4 6 % ，theMSE isaslow as O.020 2，and the MAE is as low as 0.075 6，indicatingasigncantcorelationbetweentobaccoleafcolordistributioniformationandnicotinecontent，andprovidingan effective nondestructive detection method for nicotine.

Keywords： color distribution; nicotine prediction;regressionmodel; K-Nearest Neighbor;nondestructive testing

0 引言

煙草作為一種重要的農(nóng)作物，廣泛應(yīng)用于煙草制品的生產(chǎn)，對于全球經(jīng)濟和人們的日常生活有著重要的影響。（剩余6969字）