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1、棉花学报CottonScience2007,19(2):106～113地面数字图像技术在棉花氮素营养诊断中的初步研究1,213112王晓静,张炎,李磐,侯秀玲,冯固(1.新疆农业科学院土壤肥料研究所,乌鲁木齐830000;2.中国农业大学资源与环境学院,北京100094)摘要:为了探讨利用图像处理技术进行棉花氮素营养诊断的可行性,通过多水平的氮肥田间试验,采用数码相机获取棉花冠层图像,分析了不同氮水平下棉花冠层图像色彩参数与施氮量、产量及多个氮素营养诊断指标之间的关系。研究表明:南疆畦灌条件下,氮素营养水平直接影响到棉花冠层光谱反射特性。红、蓝光标准化值与铃期施氮量、产量之间有极显著的
2、线性负相关关系,采用R/(R+G+B)、B/(R+G+B)值可以直接用来诊断棉花铃期的氮素营养状况,或间接估测产量;铃期绿光值G和绿光与红光比值G/R与叶柄硝酸盐浓度、植株全氮和地上部生物量之间都有较大的相关性,可以较为灵敏地反映棉花氮素营养水平,适宜作为氮素营养诊断指标。因此,应用数字图像技术进行棉花氮素营养诊断是可行的。关键词:棉花;数字图像;植株快速测试;氮营养诊断中图分类号:S562.01文献标识码:A文章编号:100227807(2007)0220106208StudyonCottonNStatusDiagnosisUsingDigitalImageProcessing1,2
3、1311,22WANGXiao2jing,ZHANGYan,LIPan,HOUXiu2ling,FENGGu(1.SoilandFertilizerInstitute,XinjiangAcademyofAgriculturalSciences,Urumqi830000,China;2.CollegeofResourcesandEnvironment,ChinaAgriculturalUniversity,Beijing100094,China)Abstract:ThecommonmethodsincludingtestingoftotalN、stemtissuenitrateandSP
4、ADreadingswereusedtodiagnosethenitrogen(N)statusofcottonandrecommendthenitrogenapplicationrate.However,duetolaborrequirementsandhighcosts,thesemethodscanhardlybeappliedtothecottoninfieldcondition.Inrecentyears,withrapiddevelopmentofremotesensingnearingtheground,dig2italimageanalysismethodcombine
5、dwithplanttestandyieldmeasurementhasbecomeanotherchoiceincropnutrientdiagnosis.BecauseNofplantshowsobviouseffectsonchlorophyllconstitutesandcontentdirectly,nutritioncouldbedetectedthroughdigitalimageanalysisofplantcanopy.Largequantitiesoftestshavebeenstudiedonspectrumcharacterofplantcanopy.Butfe
6、wofthatwerestud2iedoncotton.Therefore,wearetryingtoresearchonspectrumcharacterofcottoncanopythroughdigitalimageanalysismethodforNstatusdiagnosis.Inthisstudy,digitalimageanalysismethod,whichcombinedwithsoilandplantNrapidtest,wasstudiedforcottonNstatusdiagnosis.Theexperimentwasconductedwithinamult
7、i2factorialfieldtrialwiththreelevelsofNunderchannelirrigationatFenshoufarm,Awaticounty,Xinjiang.ThepossibilityofusingdigitalimageanalysismethodforplantNstatusdiagnosiswasstudied.Theresultsshowsignificantrelationshipbetweenco
