基于無人機(jī)多光譜技術(shù)的田間煙葉成熟度判別研究

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中圖分類號(hào)：S572 文獻(xiàn)標(biāo)志碼：A 文章編號(hào)：2096-9902（2025）08-0001-05

Abstract：Inordertoacuratelydeterminethematurityoftobaccoleavesinthefieldbasedondronemulti-spectral technology，multi-spectralequipmentmountedbydroneswasusedtocolectdataonthematurityoftobaccoleavesintobacco fieldsatdiferentperiods.SpearmancorrelationanalysisandmRMRmethodwereusedtoscreenoutvegetationindices（RBRI， NDRE，GCI，ARVI）thatweresignificantlyrelatedtotobaccofieldmaturity.Subsequently，basedonthescreeningresults，a diseriminantmodelfortobaccomaturityintobaccofieldswasconstructedusingrandomforestmethodTheresearchresultsshow thatdronemulti-spectraltechnologycanaccuratelycapturethecharacteristicsoftobaccomaturityinthefield.Theaccuracyrates ofthe training set and test set of the discriminant model reach 95.72% and 93.89 % respectively.This research helps accurately graspthebestharvestoportunityoftobacco leaves，improvesthequalityofcuredtobacco leaves，andprovidesnewtechnical support for field agricultural monitoring and precise management.

Keywords：dronemultispectral；vegetationindex；tobaccomaturitydiscrimination；corelationanalysis；randomforest

煙葉的田間成熟度是衡量其生長發(fā)育達(dá)到可采收狀態(tài)的綜合指標(biāo)。（剩余6765字）