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演講人：日期：農業(yè)物聯(lián)網英文AgriculturalInternetofThingsinEnglishApplicationScenariosofAgriculturalIoTChallengesandSolutionsinAgriculturalIoTFutureTrendsandDevelopmentsinAgriculturalIoT目錄01AgriculturalInternetofThingsinEnglishAgriculturalIoT(InternetofThings)referstotheapplicationofIoTtechnologyinthefieldofagriculture,aimingtoimproveagriculturalproductionefficiencyandqualitythroughintelligentperception,analysis,anddecisionmakingAgriculturalIoTcancollectvarioustypesofdatarelatedtoagriculturalproductionthroughsensors,suchassoiltemperatureandhumidity,lightintensity,andcarbondioxideconcentration,andtransferthesedatatothecloudplatformforprocessingandanalysisBasedonthedataanalysisresults,agriculturalIoTcanprovidefarmerswithscientificdecisionmakingsupport,suchasprecisionirrigation,fertilizerapplication,andpestcontrol,improvingagriculturalproductionefficiencyandreducingcostsIntroductiontoAgriculturalIoTKeyTechnologiesofAgriculturalIoTSensorTechnologySensorsarethebasisforcollectingagriculturalproductiondataCommonlyusedsensorsincludesoilsensors,meteorologicalsensors,andplantsensors,whichcanmonitorsoilfertility,climaticconditions,andplantgrowthinrealtimeCloudComputingTechnologyCloudcomputingplatformscanstoreandprocessmassaccountsofagriculturalproductiondata,providingpowerfulcomputingandstoragecapabilitiesforagriculturalIoTapplicationsKeyTechnologiesofAgriculturalIoTBigDataAnalysisTechnologyBigdataanalysistechnologycanextractvaluableinformationfrommassaccountsofagriculturalproductiondatatoguideagriculturalproductionandmanagementdecisionsArtisticIntelligenceTechnologyArtisticintelligencetechnologycanlearnandoptimizeacademicproductionmodelsbasedonhistoricaldatatoachievemoreaccuratepredictionanddecisionmakingsupport02ApplicationScenariosofAgriculturalIoTPrecisionAgricultureUtilizingIoTsensorsanddevicestomonitorcrophealth,soilconditions,andweatherpatterns,enablingfarmerstomakedatadrivendecisionsforoptimalcropyieldsAutomatedIrrigationIoTenabledirrigationsystemscanautomaticallyadjustwaterflowbasedonsoilmoisturelevels,reducewaterwasteandensureplantsreceivetherightamountofwaterSmartGreenhousesGreenhousesacquiredwithIoTtechnologycanautomaticallycontroltemperature,humidity,andlightingconditionstocreateanidealenvironmentforplantgrowthSmartFarmingLivestockFarmingAnimalHealthMonitoringIoTdevicescanbeusedtotrackthehealthandwellbeingoflivestock,includingmonitoringvitalsigns,behavior,andnutritionintakePrecisionFeedingIoTenabledfeedingsystemscanautomaticallyadjustfeedratesbasedonananimal'sage,weight,andproductionlevel,optimizingfeedusageandreducingcostsEnvironmentalControlIoTsensorscanmonitorbarnconditionssuchastemperature,humidity,andammonialevels,enablingfarmerstomakeadjustmentstoimproveanimalcomfortandhealthDiseasePreventionandManagementBycontinuouslymonitoringlivestockhealthdata,farmerscanidentifyearlysignsofdiseaseandtakeproactivemeasurestopreventbreakdownsLivestockFarming03ChallengesandSolutionsinAgriculturalIoTInteroperabilityAgriculturalIoTdevicesfromdifferentmanufacturersoftenhavecompatibilityissues,makingitdifficulttointegratethemintoaunifiedsystemConnectivityReliableandconsistentinternetconnectivityiscriticalforAgriculturalIoTbutcanbechallengingtoachieveinremoteorruralareasDataManagementCollecting,storing,processing,andanalyzingvastamountsofdatageneratedbyAgriculturalIoTdevicesrequiresrobustdatamanagementsystemsSecurityAgriculturalIoTsystemsarevulnerabletocyberattacks,whichcansimplifydataintegrityandsystemfunctionality01020304TechnicalChallengesCostThehighcostofimplementingandmaintainingAgriculturalIoTsystemscanbeabarrierformanyfarmers,specificallythosewithlimitedresourcesTrainingandEducationFarmersandagriculturalworkersmayrequiretrainingtounderstandandeffectivelyuseAgriculturalIoTtechnologiesAcceptanceandAdoptionSomefarmersmayberesistanttoadaptingnewtechnologies,preferringtraditionalfarmingmethodsEconomicandSocialChallengesRegulatoryandPolicyIssuesGovernmentregulationsandpoliciescanaffecttheimplementationanduseofAgriculturalIoT,somecreatingadditionalchallengesforfarmersEconomicandSocialChallenges04FutureTrendsandDevelopmentsinAgriculturalIoTIntegrationwithCloudComputingAgriculturalIoTwillincrementallyintegratewithcloudcomputingplatformstoenabledatastorage,processing,andanalyticsonalargerscaleIntegrationwithArtificialIntelligenceAIalgorithmswillbeusedtoanalyzeIoTdataandprovidefarmerswithinsightsandrecommendationsforimprovingcropyieldsandreducingresourceusageIntegrationwithBlockchainTechnologyBlockchaincanprovideasecureandtransparentledgerfortrackingthepreventionofagriculturalproducts,ensuringfoodsafetyandauthenticityIntegrationwithOtherTechnologiesDataPrivacyandSecurityRegulationsGovernmentswillneedtoestablishregulationstoprotecttheprivacyandsecurityoffarmdatacollectedthroughIoTdevicesStandardizationandInteroperabilityPoliciesa

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