07097nam 2202017z- 450 991063779450332120231214132941.03-0365-5710-5(CKB)5470000001631591(oapen)https://directory.doabooks.org/handle/20.500.12854/94502(EXLCZ)99547000000163159120202212d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRemote Sensing for Precision Nitrogen ManagementBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (602 p.)3-0365-5709-1 This book focuses on the fundamental and applied research of the non-destructive estimation and diagnosis of crop leaf and plant nitrogen status and in-season nitrogen management strategies based on leaf sensors, proximal canopy sensors, unmanned aerial vehicle remote sensing, manned aerial remote sensing and satellite remote sensing technologies. Statistical and machine learning methods are used to predict plant-nitrogen-related parameters with sensor data or sensor data together with soil, landscape, weather and/or management information. Different sensing technologies or different modelling approaches are compared and evaluated. Strategies are developed to use crop sensing data for in-season nitrogen recommendations to improve nitrogen use efficiency and protect the environment.Technology: general issuesbicsscHistory of engineering & technologybicsscEnvironmental science, engineering & technologybicsscUASmultiple sensorsvegetation indexleaf nitrogen accumulationplant nitrogen accumulationpasture qualityairborne hyperspectral imagingrandom forest regressionsun-induced chlorophyll fluorescence (SIF)SIF yield indicesupwarddownwardleaf nitrogen concentration (LNC)wheat (Triticum aestivum L.)laser-induced fluorescenceleaf nitrogen concentrationback-propagation neural networkprincipal component analysisfluorescence characteristicscanopy nitrogen densityradiative transfer modelhyperspectralwinter wheatflooded ricepig slurryaerial remote sensingvegetation indicesN recommendation approachMediterranean conditionsnitrogenvertical distributionplant geometryremote sensingmaizeUAVmultispectral imageryLNCnon-parametric regressionred-edgeNDREdynamic change modelsigmoid curvegrain yield predictionleaf chlorophyll contentred-edge reflectancespectral indexprecision N fertilizationchlorophyll meterNDVINNIcanopy reflectance sensingN mineralizationfarmyard manuresTriticum aestivumdiscrete wavelet transformpartial least squareshyper-spectraricenitrogen managementreflectance indexmultiple variable linear regressionLasso modelMultiplex®3 sensornitrogen balance indexnitrogen nutrition indexnitrogen status diagnosisprecision nitrogen managementterrestrial laser scanningspectrometerplant heightbiomassnitrogen concentrationprecision agricultureunmanned aerial vehicle (UAV)digital cameraleaf chlorophyll concentrationportable chlorophyll metercropPROSPECT-Dsensitivity analysisUAV multispectral imageryspectral vegetation indicesmachine learningplant nutritioncanopy spectrumnon-destructive nitrogen status diagnosisdronemultispectral cameraSPADsmartphone photographyfixed-wing UAV remote sensingrandom forestcanopy reflectancecrop N statusCapsicum annuumproximal optical sensorsDualex sensorleaf positionproximal sensingcross-validationfeature selectionhyperparameter tuningimage processingimage segmentationnitrogen fertilizer recommendationsupervised regressionRapidSCAN sensornitrogen recommendation algorithmin-season nitrogen managementnitrogen use efficiencyyield potentialyield responsivenessstandard normal variate (SNV)continuous wavelet transform (CWT)wavelet features optimizationcompetitive adaptive reweighted sampling (CARS)partial least square (PLS)grapevinehyperparameter optimizationmultispectral imagingprecision viticultureRGBmultispectralcoverage adjusted spectral indexvegetation coveragerandom frog algorithmactive canopy sensingintegrated sensing systemdiscrete NIR spectral band datasoil total nitrogen concentrationmoisture absorption correction indexparticle size correction indexcoupled eliminationTechnology: general issuesHistory of engineering & technologyEnvironmental science, engineering & technologyMiao Yuxinedt1328596Khosla RajedtMulla David JedtMiao YuxinothKhosla RajothMulla David JothBOOK9910637794503321Remote Sensing for Precision Nitrogen Management3038699UNINA