農(nóng)業(yè)物聯(lián)網(wǎng)英文

演講人：日期：農(nóng)業(yè)物聯(lián)網(wǎng)英文AgriculturalInternetofThingsOverviewKeyTechnologiesofAgriculturalIoTIntelligentAgriculturalManagementSystemBasedonIoTApplicationsofAgriculturalIoTinDifferentScenarios目錄ChallengesFacedbyAgriculturalIoTDevelopmentSecurityIssuesandSolutionsforAgriculturalIoT目錄01AgriculturalInternetofThingsOverviewTheAgriculturalInternetofThings(AIoT)referstotheapplicationofInternetofThingstechnologyinthefieldofagricultureItinvolvestheuseofsensors,actors,andotherdevicestocollectdatafromagriculturalenvironmentsandmanageagriculturalproductionprocessesTheAIoTenablesreal-timemonitoringandcontrolofagriculturalsystems,improvingefficiencyandproductivityDefinitionandConcept01ThedevelopmentoftheAIoTisdrivenbytheneedtoaddresschallengesinagriculturalproduction,suchasresourcescale,laborshorts,andclimatechange02TheAIoThasthepotentialtorevolutionizeagriculturebyprovidingfarmerswithaccesstoreal-timedataandinsightsthatcaninformdecisionmakingandoptimizeproductionprocesses03TheintegrationoftheInternetofThingsintoagriculturecanhelpimprovefoodsecurity,sustainability,andprofitabilityofagriculturalsystemsworldwideDevelopmentBackgroundandSignificanceSmartfarmingTheAIoTcanbeusedforprecisionfarming,allowingfarmerstomonitorcrophealth,soilconditions,andweatherpatternstooptimizeirrigation,utilization,andpestcontrolLivestockmanagementSensorscanbeattachedtolivestocktotracktheirhealth,behavior,andlocation,enablingfarmerstoidentifysideanimalsearlyandimproveoverallhealthandproductivityAgriculturalsupplychainTheAIoTcanprovidetransparencyandtraceabilitythroughtheagriculturalsupplychain,ensuringfoodsafetyandqualitycontrolApplicationsandBenefitsinAgricultureEnvironmentalmonitoringTheAIoTcanbeusedtomonitorenvironmentalfactorssuchasairquality,waterquality,andsoilpollution,helpingtomitigatetheenvironmentalimpactofagriculturalactivitiesApplicationsandBenefitsinAgriculture02KeyTechnologiesofAgriculturalIoTMeasurethemoisturecontentinthesoiltooptimizeignitionschedulesSoilMoistureSensorsMonitorenvironmentalconditionsinsidegreenhousesorlivestockbarsTemperatureandhumiditysensorsDetectlightintensitytoadjustlightingsystemsforplantgrowthLightSensorsMeasuresoilacidityoralkalinityforprecisionfertilizerapplicationPHSensorsSensorTechnologyWirelessCommunicationTechnologyLoRaWANLongrange,lowpowerwirelesstechnologysuitableforruralareaswithlimitedinfrastructureZigbeeMeshnetworkprotocolforreliablecommunicationbetweendevicesincloseproximityWiFiandCellularNetworksWidelyavailabletechnologiesthatcanbeusedfordatatransmissioninagriculturalIoTsystemsSatelliteCommunicationForremoteareaswithoutterritorialnetworkcoverageDataStorageandProcessingCloudplatformsprovidescalablestorageandprocessingpowerforlargeamountsofdatageneratedbyagriculturalIoTdevicesRealtimeAnalyticsEnablefarmerstomakeinformeddecisionsbasedonuptodateinformationabouttheirfieldsandlivestocksPredictiveModelingUsingmachinelearningalgorithms,farmerscanpredictcropyields,diseaseoutbreaks,andotherimportanteventsCloudComputingandBigDataAnalysisRemoteMonitoringandControlWithcloudbasedapplications,farmerscanaccesstheiragriculturalIoTsystemsfromanywhere,anytimeCloudComputingandBigDataAnalysis03IntelligentAgriculturalManagementSystemBasedonIoTLayeredArchitectureThesystemoptionsalayeredarchitecture,whichincludestheperceptionlayer,networklayer,platformlayer,andapplicationlayerEachlayerhasspecificfunctionsandresponsibilitiesPerceptionLayerTheperceptionlayerisresponsibleforcollectingvariableagriculturaldatathroughsensors,suchassoilmoisture,temperature,humidity,lightintensity,andcarbondioxideconcentrationNetworkLayerThenetworklayertransmitsthecollecteddatatotheplatformlayerthroughwiredorwirelessnetworks,ensuringreal-timeandaccuratedatatransmissionSystemArchitectureDesignPlatformLayerTheplatformlayerisresponsiblefordatastorage,processing,andanalysis,providingaunifieddatamanagementplatformforvariousapplicationsApplicationLayerTheapplicationlayerprovidesvariousintelligentagriculturalmanagementservicesbasedonthedataprocessedbytheplatformlayer,whichareallasprecisioninfringement,fertilizerapplication,pestcontrol,andyieldpredictionSystemArchitectureDesignDataCollectionModuleThismoduleisresponsibleforcollectingvariableagriculturaldatathroughsensorsandtransmittingthemtothedataprocessingmoduleDataProcessingModuleThismoduleprocessesandanalyzesthecollecteddata,extractsusefulinformation,andstoresitinthedatabaseforsubsequenceusebyothermodulesFunctionalModulesIntroductionDecisionmakingandControlModuleBasedontheprocesseddataandpresetrules,thismodulemakesdecisionsonagriculturalproductionactivitiessuchasinitiation,fertilizerapplication,andpestcontrol,andcontrolstheexecutionofthesedecisionsUserInterfaceModuleThismoduleprovidesauserfriendlyinterfaceforuserstocontactwiththesystem,allowingthemtoviewreal-timedata,manageagriculturalproductionactivities,andreceivealertsandnotificationsFunctionalModulesIntroductionSensorSelectionandDeploymentSelectappropriatesensorsaccordingtotheneedsofagriculturalproduction,anddeploytheminsuitablelocationstoensureaccuratedatacollectionDataTransmissionandSecurityEnsurereliableandsecuredatatransmissionbetweensensors,networks,andplatformstopreventdatalossorsamplingDataProcessingandAnalysisAdoptadvanceddataprocessingandanalysistechniquestoextractusefulinformationfromcollecteddataandprovideaccuratedecisionsupportforagriculturalproductionactivitiesImplementationProcessandKeyPointsSystemIntegrationandTestingIntegratevariousfunctionalmodulesintoaunifiedsystemandconductcomprehensivetestingtoensurethesystem'sstabilityandreliabilityImplementationProcessandKeyPoints04ApplicationsofAgriculturalIoTinDifferentScenarios

SmartMigrationSystemAutomatedMonitoringUtilizingsensorsandcamerastomonitorcropgrowth,soilconditions,andweatherpatternsinrealtimeDataAnalysisCollectingandanalyzingdatatoidentifyissuesandoptimizegrowingconditionsforhigheryieldsDecisionSupportProvidingfarmerswithactionableinsightsandrecommendationsbasedondataanalysis03SensorBasedApplicationUsingsensorstodetectnutrientdefectsinplantsandapplyfertilizeronlywhereneeded01VariableRateApplicationAdjustingfertilizerratesbasedonsoilconditions,croptype,andgrowthstageformoreeffectiveuse02NutrientMappingCreatingmapsofnutrientlevelsinthesoiltoidentifyareasneedingmoreorlessfertilizerPrecisionFertilizationSystemDiseasePreventionIdentifyingpotentialhealthissuesearlyontopreventthespreadofdiseaseandreducetreatmentcostsBrewingManagementMonitoringproductivecyclesandanticipationtooptimizebreedingprogramsandimprovehergenesRealTimeMonitoringTrackingvitalsignalssuchastemperature,heartrate,andaspirationtoidentifysideorstressedanimalsLivestockHealthMonitoringSystemUsingsoilmoisturesensorsandweatherdatatoautomaticallyadjustirrigationschedulesforwaterconservationSmartIrrigationDeployingdronestocapturehighresolutionimagesandvideosoffieldsforremotemonitoringandanalysisDroneBasedMonitoringControllingenvironmentalconditionssuchastemperature,humidity,andlightlevelstooptimizeplantgrowthingreenhousesAutomatedGreenhousesIntegratingIoTdevicesandsystemstoimprovetraceability,efficiency,andsustainabilityinagriculturalsupplychainsConnectedSupplyChainsOtherInnovativeApplications05ChallengesFacedbyAgriculturalIoTDevelopmentInteroperabilityEnsuringthatdifferentIoTdevicesandsystemscancommunicateandworktogethereffectivelyisasignificanttechnicalchallengeDataManagementCollecting,storing,processing,andanalyzingthevastamountsofdatageneratedbyIoTdevicesinagriculturerequiresrobustdatamanagementsystemsConnectivityReliableandsecureconnectivityiscriticalforacademicIoTapplications,specificallyinremoteareaswhereinternetconnectivitymaybelimitedTechnicalChallengesCostofImplementation01TheinitialcostofimplementingIoTsolutionsinagriculturecanbehigh,includingthecostofprocurementandinstallingsensorsandotherdevicesOngoingMaintenance02MaintainingandupdatingIoTsystemsinacademicsettingscanbecost-effectiveandtimeconsumingReturnonInvestment03DemonstratingtheeconomicbenefitsofagriculturalIoTsolutionstofarmersandotherstakeholderscanbechallengedEconomicChallengesEnsuringtheprivacyandsecurityofdatageneratedbyagricul