《智慧农业英语》课件 Unit1 Innovations for sustainable agriculture

智慧农业英语EnglishforSmartAgricultureInnovationsforsustainableagriculture1Unit智慧农业英语EnglishforSmartAgricultureBytheendofthisunitonsmartplantprotection,studentswillbeableto:describecoreconceptsandkeytechnologiesrelatedtosmartagricultureandtheirfarmingapplications;understandhowglobalchallengesandkeytechnologiesdrivetheshifttosmartagriculturewhilesupportingclimate-smartandsustainablefoodsecurity;explorecollaborativemodelsinChina’ssmartagricultureandtheirsignificanceforinternationalknowledgesharing;deliveranacademicoralreportonChina’sachievementsandinnovationsinsmartagriculture.Learning

objectives智慧农业英语EnglishforSmartAgricultureCONTENTSUnlocking

thetopicExploringworldagriculturePresentingChina'sinitiativesDecodingthefutureoffarmingPioneeringsolutionsforsustainabilityAgricultureisnowenteringanewera.Thetransformationofagriculturethroughtechnologyisnolongerjustavision;itisactivelyreshapingfoodproduction,resourcemanagement,andresponsestoglobalchallenges.Smartagricultureintegratescutting-edgeinnovationslikeAI,IoT,androboticswithtime-testedfarmingknowledge,creatingsystemsthatarebothefficientandsustainable.Theseadvancementsnotonlyboostproductivitybutalsohelpaddresspressingissuessuchasclimatechange,waterscarcity,andlaborshortages.Asyouexplorethisunit,considerhowtheseinnovationsbridgeproductivityandsustainability.Let’sdiscoverhowsmartagriculturebuildsamoreresilientfoodsystemforthefuture.SettingthesceneActivatingsubjectknowledgeScanthecodeandcompletetheagriculturalvocabularyexerciseonUcampus.Wordbankalgorithmn.

演算法saplingn.

树苗livestockn.

牲畜uddern.（奶牛、母山羊等的）乳房veterinarya.兽医的fawnn.

幼鹿podn.

（某些昆虫的）卵囊Watchthevideoclipanddecidewhetherthestatementsaretrue(T)orfalse(F).(Withsubtitles)(Withoutsubtitles)_______1.Morethan90%offarmersinGermanyhaveadoptedsmartfarmingtechnology._______2.ThefarminCalifornia,whichusesrobotstotakecareofyoungplants,claimsthatitproduces30timesasmanyvegetablesperhectareastraditionalfarms._______3.OnthedairyfarminEngland,fitnesstrackersplacedinthecows'earsprimarilymonitorthequalityandquantityoftheirmilk.FFT_______4.GPScollartrackersworkbygivingaslightelectricshocktotracktheanimals’location._______5.Thermalimagingdronescanfindbabydeerintallgrass,helpingpreventthemfrombeingaccidentallyrunoverbycombineharvesters._______6.Thevideosuggeststhatprecisionfarmingcouldbeawaytosolvethefutureglobalfoodchallengecausedbypopulationgrowth.FTTSettingthesceneActivatingsubjectknowledgeScanthecodeformorecomprehensionexercisesonUcampus.Participateinarole-playconversationbetweenaChinesestudentandaGermanfarmer.TopicCross-culturalperspectivesonsmartagriculture:sharing,comparing,andadaptingtechnologypracticeRolesStudentA:AChinesecollegestudentmajoringinagriculture,

whoispassionateaboutsmartfarmingpractices.StudentB:AGermanfarmerwhointegratessmartfarming

technologyintoroutineagriculturalworkflows.StepsThinkaboutwhatyouwanttoaskorshareintheconversation.

StudentAshouldprepareseveralquestionsrelatedtothe

giventopic.StudentBshouldprepareanswerstoStudentA’s

questionsbasedoninformationfromthevideoandyourown

understandingofsmartagriculture.Discussyourinitialideaswith

theAItutoronUcampus.ChooseyourroleandstarttheconversationwiththeAItutor.Makesuretoaskandanswerquestionsclearlyandprovide

specificdetails.Reviewthereal-timefeedbackfromtheAIspeakingtoolafter

theconversationandimproveyourperformanceaccordingly.

Switchrolestoexplorethealternativeperspective.

ScriptsFarmingisoneoftheoldestprofessionsintheworld.Accordingtoonesurvey,82%ofGermanfarmersusesmartfarmingtechnology.Bigdatamakesanimalbreedingmoreefficient,andartificialintelligenceisusedtoidentifythebestconditionsforgrowingcrops.Farmingsensorscommunicatewithoneanotheronlinetoimproveefficiency,andalgorithmsprocessdatagatheredbydrones.Robotshavethepotentialtoharvestanddomuchmore.AtthisCaliforniafarm,robotsareautonomouslytransplantingsaplings,monitoringtheirgrowth,andmovingheavypotsfromAtoB.Thefarmingcompanysaysitgrowsthirtytimesasmanyvegetablesperhectareasconventionalagriculturalbusinesses,andpeopleonlyplayasecondaryrole.“Ithinkrobotswillnotreplace,butcomplementhumansintheagriculturalindustry.Robotswillhelpthem.Theindustryischanging.Farmersarebecomingagriculturalmanagers.”Robotsarealsobeingusedincattleanddairyfarming.Butsomepeopleclaimthatthisisharminganimals.Inanycase,livestockanddairyfarmsareforcedtoboostefficiencytoremaincompetitive.OnedairyfarminthesouthernEnglishvillageofSheptonMalletisleadingthewayandusing5Gconnectivitytoenhanceefficiency.ThismightlooklikeaconventionalBritishdairyfarm,butit’snot.Thesedairycowsareintegratedintoasmartfarmingsystemthatutilizes5Gtechnology.Cowswearsmartcollarsthatsendthemtomilkingrobotsassoonastheiruddersarefull.Therobotsthenanalyzetheamountandqualityofmilk.Fitnesstrackersintheanimal’searsmonitortheirhealth.“We’vegotalotofwearabletechnologyonthecowswhichmonitorstheiractivityinawholenumberofdifferentwaysandthatinformationisfedbacktothecomputersonthefarm,butalsotothephonethattheguysrunningtheherdhaveandsotheycansee,veryearlyon,theearliestindicationsofwhenacowmightnotbesowell.”Thefarmercancheckonhiscowsaroundtheclockwithhissmartphone.“We’relookingat866justthroughthere.Soshecalvedduringthenight.Thisredspikeisaspikeofactivity.Basically,it’stellingmeheractivitiesincreased.SoIcanseethatshe’sbegunlabor,startthecalvingandanincreaseinheractivity,andheractivity’sdroppingdown.SoIcaninterpretitasshe‘scalvedquitesafely.”Thesehigh-techapplicationshavemadedairyfarmingmuchmoreefficient,butwhatdoesthismeanforanimalwelfare?ThomasBlahafromtheGermanVeterinaryAssociationforAnimalWelfaresaysthatfarmerswereinitiallytooreliantonhigh-endtech.“Farmersplacedalotoftrustinthesetechnologiesandcutbackoncheckingtheiranimals’well-being.Theyspentlesstimemonitoringiftheanimalshadinjuredthemselvesorfallenill.Butsmartfarmingtechnology,whenproperlyused,candefinitelyimproveanimalwell-being.Therearemoreandmoretoolswecanuseforthat.”Likevirtualpasturestopreventcattle(from)gettinghurtonwirefencing,farmerscanprogramGPScollartrackerstokeepcattleinacertainpredefinedareafromtheirsmartphones.Ifananimalventuresoutsidethisarea,itscollaremitsawarningsignal.Ifitkeepsgoing,thecollargivesitalow-energyelectricshockasanelectricfencewould.Smallelectricshocksstillsoundpainful.Thesedays,farmersalsousedronestomonitorcropsamongotherthings.Thisthermalimagingdronecanspotfawnshidingintallgrass.Thatway,theycanberescuedsocombineharvestersdon’tmistakenlyrunthemover.Thisdronedropspodsofichneumonwaspsovercornfields.TheinsectsdestroytheeggsofEuropeancornborermoths,apest.Andthisautonomousdronehelpsprotectgreenhousecropsfrommoths.Abasestationscanstheenvironmentwithinfraredcamerasandthendispatchesthedronetokilltheinsects.Theworld’spopulationisexpectedtogrowbytwobillionpeopleoverthenextthirtyyears.Sofeedingeveryoneisahugechallenge.Theagriculturalsectorrequiresalotofwater,land,fertilizerandenergy.Howcanweusetheseresourcesefficiently?Precisionfarmingmightbetheanswer.Smartagricultureenricheshumanityandnature1Humanfoodsourcesprimarilycomefromagriculture,whichmakestheagriculturalsectorcriticallyimportantintoday'sworld.Giventheworld'slargepopulationandtheexistingchallengesinagriculturalresources,therehasbeenagrowingfocusonthetransitionfromtraditionalagriculturetosmartagriculture.Hence,itisessentialtoidentifythechallengesofthismodernagriculturalsystemandtakeappropriatemeasuresandprecautionstoaddressthemtofullyrealizeitsbenefits.Now,morethanever,weshouldinvestigatehowtechnologyupgradescanbenefittheagriculturalsector.ResearchfindingsindicatethattechnologiessuchastheInternetofThings(IoT),artificialintelligence(AI)anditssubfields,androboticsystemsaccountforthelargestshareofstudiesanddevelopmentsinsmartagriculture.However,itisimportanttonotethatsometechnologiesarestillintheresearchphaseandhavenotyetbeenfullyimplementedinpracticalagriculturalapplications.2Thepursuitoffoodsecurity–astatewhereallpeoplehaveaccesstosufficient,safe,andnutritiousfood–isabasicmotivatorforadoptingsmarteragriculturalpractices.Foodsecurity,thereby,supportshealth,economicstability,andsocietalwell-being.Itisamultidimensionalconceptdefinedbyfourkeydimensions:availability,access,utilization,andstability.Foodsecuritysafeguardsafundamentalhumanright,particularlyforvulnerablepopulations.

3AccordingtotheUNWorldPopulationProspects2022,theglobalpopulationisprojectedtogrowto9.7billionby2050and10.4billionin2100.Thispopulationincrease,combinedwithotherfactorssuchasindustrialization,shrinkingarableland,financialcrisis,increasedurbanization,limitedwaterresources,andenvironmentalchallenges,hasmadefoodsecurityaglobalconcern.Indeed,thesefundamentalproblemshaveposedsignificantchallengestotheagriculturalsector,theprimarysourceoffoodsupply.Toeffectivelymeetthegrowingdemandforfood,bothinquantityandquality,stakeholdersmustfocusonmaximizingagriculturalproductivity.Thisindicatestheimportanceofthetransitionfromtraditionalagriculturetosmartagriculture,whichcanbeachievedbyintegratingadvancedtechnologiesanddata-drivenmethods.4WearelivinginaneracharacterizedbygroundbreakingadvancementsintechnologiessuchasAI,IoT,wirelesssensornetworks,roboticsystems,digitaltwins,andbigdata.Thesetechnologiesaretransformingindustriesbyseamlesslyintegratingandinteractingwithoneanother,andagricultureisnoexception.Theirapplicationintheagriculturalsectorhasledtothebirthofsmartagriculture.

5Smartagricultureequipsfarmerswithawiderangeofinnovativetoolstotacklevariouschallengesinfoodproduction.Thesechallengesincludeimprovingfarmproductivity,reducingenvironmentalimpact,enhancingfoodsecurity,minimizingcroplosses,andpromotingsustainableagriculturalpractices.Forexample,AI-poweredrobots,likeharvestingrobots,canoptimizeharvestingprocesses,whileIoT-enabledwirelesssensornetworksmonitorfruitsinrealtime,enhancingoverallefficiencyandsustainability.Dronescanbeusedinsmartagriculturalsystemsforperformingvarioustaskssuchascropmonitoring,fieldmappingandanalysis,irrigationmanagement,pestanddiseasecontrol,andlivestockmanagement.Inaddition,byintegratingdata-drivenapproacheswithadvancedsoftwareapplications,smartagricultureenablesfarmerstoanalyzereal-timedatafromdronesandsensorstooptimizeresourcemanagementandboostproductivity.

6Digitaltwinsrepresentatechnologicalrevolution,creatingvirtualreplicasofphysicalfarmsthatenablefarmerstosimulatescenariosbeforeimplementingchanges.Forexample,adairyfarmcoulduseadigitaltwintoevaluatehowalteringfeedcompositionsmightimpactmilkproductionormethaneemissions,fosteringdata-drivendecisions.Otheraspectsofsmartagriculturearealsoeffectivelyusedinareassuchasweedcontrol,waterresourcemanagement,andsoilconditionmonitoring.

7Notably,manyagriculturalactivitiesarecloselytiedtoclimatechangeandenvironmentalissues.Extremeweatherevents,suchasextremeheat,unpredictablerainfall,droughts,floods,andstorms,significantlyimpactfarmingactivities.Ontheotherhand,theagriculturalsectoraccountsforaconsiderableamountofgreenhousegasemissions,primarilyduetoland-usechangesanddeforestationdrivenbyagriculturalexpansion.

8Smartagriculturealignscloselywiththeprinciplesofclimate-smartagriculture,whichseekstotransformandadaptagriculturalsystemsinresponsetoclimatechangeandensurefoodsecurity.Byleveragingadvancedtechnologies,smartagricultureminimizesenvironmentalharmandenablestheproductionofadequateandnutritiousfoodforagrowingglobalpopulation.Thisdualfocusonproductivityandsustainabilitypositionssmartagricultureasakeysolutiontothechallengesposedbyclimatechange.9Lookingahead,emergingtechnologiessuchas5Gconnectivityandedgecomputingwilleliminatedelaysinremoteareas,allowingforquickresponsestoproblemslikepestoutbreaks.Researchinstitutionsandstartupsareexploringthepotentialofswarmrobotics–groupsofsmall,self-operatingrobotsthatworktogethertoweedfieldsorpollinateplants,cuttingdownontheneedforlargemachinery.

10Asthesetechnologiescontinuetoevolve,smartagriculturewillnotonlyenhanceefficiencybutalsobecomeakeypartofglobalfoodsecurityandenvironmentalsustainability.Byblendingnewideaswithinclusiveness,smartagriculturepromisesafuturewherefarmsarenotjustproductivebutalsoresilient,equitable,andinharmonywiththeearth’secosystems.

AccordingtotheUNWorldPopulationProspects2022,theglobalpopulationisprojectedtogrowto9.7billionby2050and10.4billionin2100.”[Meaning]:TheUN’s2022reportonworldpopulationsaysthattheglobalpopulationisexpectedtoreach9.7billionby2050and10.4billionby2100.[Knowledgefocus]Thisdatareflectsthecorebackgroundofglobalfoodsecuritychallenges.Asthepopulationgrows,thedemandforfood(bothquantityandquality)willincreasesharply,whilearablelandandwaterresourcesarelimited.Thisisexactlywhytraditionalagricultureneedstotransitiontosmartagriculture–usingtechnologytoimproveproductivitywithoutoverusingresources.WorldPopulationProspects《世界人口展望》[Words&Phrases]:beprojected:

beplannedtohappeninthefuture预计e.g.Thearea’sgrainoutputisprojectedtoriseby10%next

yearduetosmartirrigation.“Forexample,AI-poweredrobots,likeharvestingrobots,canoptimizeharvestingprocesses,whileIoT-enabledwirelesssensornetworksmonitorfruitsinrealtime,enhancingoverallefficiencyandsustainability.”[Meaning]:Takeharvestingrobotsasanexample–robotscontrolledbyAIcanmakeharvestingworkbetter.Atthesametime,wirelesssensornetworksconnectedtoIoTcancontinouslycheckfruits’conditions.Bothtechnologieshelpimproveworkefficiencyandmakefarmingmoresustainable.[Knowledgefocus]Thesetwotechnologiesarecoreapplicationsofsmartagriculture–AIfocuseson“decisionoptimization,”whileIoTemphasizes“datacollection.”Collaboratingseamlessly,theyenable“precisionfarming,”addressingthepainpointsoftraditionalagriculture,suchas“farmingbasedonexperience”and“severeresourcewaste.”InscientificEnglish,thecompoundadjectivesformedwith“noun+powered/enabled”followahigh-frequencypattern.Theymean“drivenby/empoweredby...”(“由……驱动的”或“由……赋能的”)andallowforconciseexpressionoftechnicalattributes,e.g.,solar-powered(太阳能驱动的)andcloud-enabled(云赋能的).[Words&Phrases]AI-powered:equippedwithorcontrolledbyartificialintelligence人工智能驱动的

e.g.AI-powereddronescanquicklyidentifypest-infestedareasinlargefields.IoT-enabled:connectedtotheInternetofThings

物联网赋能的

e.g.IoT-enabledirrigationsystemscanautomaticallyadjustwatersupplybasedonsoilmoisture.[Words&Phrases]inrealtime:immediatelyaseventshappen实时地e.g.Farmerscanchecksoilconditionsinrealtimeviatheirmobilephoneswithsensordata.“Digitaltwinsrepresentatechnologicalrevolution,creatingvirtualreplicasofphysicalfarmsthatenablefarmerstosimulatescenariosbeforeimplementingchanges.”[Meaning]:Digitaltwintechnologyisagreattechnologicalbreakthrough.Itcreatesexactvirtualcopiesofrealfarms,allowingfarmerstotestpossiblesituationsonthevirtualfarmbeforemakingchangesintherealone.[Knowledgefocus]DigitaltwintechnologyDigitaltwintechnologyisrevolutionizingagriculturebycreatingvirtualreplicasofphysicalassets,enablingreal-timemonitoring,predictiveanalytics,andenhanceddecision-makingforsustainablefarmingpractices.DefinitionofdigitaltwintechnologyDigitaltwintechnologyinvolvescreatingavirtualrepresentationofphysicalobjectsorsystems,allowingforreal-timedatamonitoringandanalysis.Inagriculture,thismeansdevelopingdigitalmodelsofentirefarmingecosystems,includingcrops,livestock,machinery,andenvironmentalconditions.Thesemodelscansimulatevariousscenarios,helpingfarmersmakeinformeddecisionsbasedonaccuratedata.ApplicationsinagricultureCropmanagement:Monitoringcrophealth,growthpatterns,andenvironmentalconditionstooptimizeyieldandresourceuse.Livestockmanagement:Trackingthehealthandproductivityofanimals,enablingtimelyinterventionstoimprovewelfareandoutput.Precisionagriculture:UsingdatafromsensorsandIoTdevicestomanagewater,fertilizers,andotherinputswithhighprecision,reducingwasteandcosts.Predictivemaintenance:Anticipatingequipmentfailuresandschedulingmaintenancetominimizedowntimeandoperationaldisruptions.BenefitsofdigitaltwintechnologyEnhanceddecision-making:Byprovidingreal-timeinsightsandpredictiveanalytics,digitaltwinshelpfarmersmakebetterdecisionsregardingcropmanagement,resourceallocation,andriskmitigation.Increasedefficiency:Automationanddata-driveninsightsleadtomoreefficientfarmingpractices,reducinglaborcostsandresourceconsumption.Sustainability:Digitaltwinscontributetosustainableagriculturebyoptimizinginputsandminimizingenvironmentalimpact,helpingtoaddresschallengeslikeclimatechangeandfoodsecurity.ChallengesandfuturedirectionsDataintegration:Combiningdatafromvarioussources(e.g.,sensors,drones,satellites)intoacohesivedigitaltwincanbecomplex.Standardization:Developingstandardizedmodelsandprotocolsfordigitaltwinsisessentialforwidespreadadoption.Technicalbarriers:Farmersmayencountertechnicalchallengesrelatedtotheimplementationandmaintenanceofdigitaltwinsystems.Thefutureofdigitaltwintechnologyinagriculturelookspromising,withongoingadvancementsinIoT,AI,anddataanalyticspavingthewayformoresophisticatedapplicationsandbroaderadoptionacrosstheagriculturalsector.Inconclusion,digitaltwintechnologyissettotransformagriculturebyenhancingproductivity,sustainability,anddecision-makingprocesses,ultimatelycontributingtoamoreefficientandresilientfoodsystem.Thepragmaticfunctionofthenon-finiteverb“creating,”whichservesasaresultadverbialhere,emphasizesthedirectresultbroughtaboutbythefactthatdigitaltwintechnologyisarevolution.Itismoreconcisethanusingacoordinateclause(anditcreates...),aligningwiththeconciseexpressionconventionofacademicEnglish:“replacingsimplesentenceswithnon-finiteverbs.”

[Words&Phrases]implement:putaplan,decision,orsystemintoaction实施

e.g.Thefarmdecidedtoimplementthedigitaltwinsystem

afterthreemonthsoftesting.virtualreplicas:exactdigitalcopiesofrealobjects虚拟副本e.g.

Theengineerbuiltavirtualreplicaofthefarmtotestthe

newirrigationsystem.“Smartagriculturealignscloselywiththeprinciplesofclimate-smartagriculture,whichseekstotransformandadaptagriculturalsystemsinresponsetoclimatechangeandensurefoodsecurity.”[Meaning]:Smartagricultureisveryconsistentwiththeideasofclimate-smartagriculture.Climate-smartagriculturetriestochangeandadjustfarmingsystemstodealwithclimatechange,andatthesametime,itensuresthatpeoplehaveenoughfood.[Knowledgefocus]Climate-smartagricultureVideo:Understandingclimate-smartagricultureClimate-smartagriculture(CSA)isanapproachthathelpsguideactionstotransformagri-foodsystemstowardsgreenandclimateresilientpractices.Itaimstotacklethreemainobjectives:sustainablyincreasingagriculturalproductivityandincomes;adaptingandbuildingresiliencetoclimatechange;andreducingand/orremovinggreenhousegasemissions,wherepossible.Smartagriculturefullyalignswiththesethreegoalsthroughtechnologicalmeans(e.g.,precisionirrigation,AIearlywarningsystems)andservesasthecoreimplementationpathwayforclimate-smartagriculture.Thegrammaticalfunctionofthenon-restrictiveattributiveclause–where“which”refersbacktothepreceding“climate-smartagriculture”–supplementsexplanationsofitscoreobjectives,avoidingcumbersomesentencestructures.InacademicEnglish,whensupplementaryexplanationsofprofessionaltermsareneeded,non-restrictiveattributiveclauses(ratherthanindependentsentences)areoftenemployedtoenhancelogicalcoherence.“Lookingahead,emergingtechnologiessuchas5Gconnectivityandedgecomputingwilleliminatedelaysinremoteareas,allowingforquickresponsestoproblemslikepestoutbreaks.”[Meaning]:Inthefuture,newtechnologieslike5Gcommunicationandedgecomputingwilldrasticallyreducethedelayindatatransmissioninremoteareas.Thiswillletfarmersdealwithproblemssuchassuddenpestinfestationsquickly.

[Knowledgefocus]5Gtechnologyprovideshigh-speed,low-latencynetworktransmission,addressingtheissueofslowdatatransmissioninremotefarms.Meanwhile,edgecomputingplacesdataprocessingcapabilitieson“edgedevices”nearfarms(e.g.,sensors,localservers),eliminatingtheneedtouploadalldatatothecloudandfurtherreducinglatency.Combined,thetwotechnologiesenablereal-timeearlywarningandthusrapidresponse,makingthemparticularlysuitableforagriculturalscenariosrequiringtimelyhandling,suchaspestanddiseasecontrolandemergencyirrigation.EdgecomputingVideo:Whatisedgecomputing“Lookingahead”isatypicalprospectivediscoursemarkerinacademicEnglish,usedtointroducepredictionsorplansforthefuture.Similarexpressionsinclude“Lookingforward,”“Inthefuture,”and“Astechnologiesevolve.”Whensuchphrasesareemployedinwriting(e.g.,agriculturaltechnologyreports),theycanclarifythediscoursestructureandfacilitatenaturallogicaltransitions.[Words&Phrases]pestoutbreaks:suddenandlarge-scaleappearanceofpests病虫害爆发e.g.TheAIearlywarningsystemhelpedthevillageavoidaseriouspestoutbreaklastsummer.智慧农业造福人类与自然1

人类的食物来源主要依赖农业，这使得农业部门在当今世界具有至关重要的地位。鉴于全球人口众多以及农业资源面临的现有挑战，从传统农业向智慧农业的转型正受到日益密切的关注。因此，我们必须明确这一现代农业系统面临的挑战，并采取相应措施与防范手段加以应对，以充分发挥其效益。如今，我们比以往任何时候都更需要探索技术升级如何惠及农业领域。如今，我们比以往任何时候都更需要探索技术升级如何惠及农业领域。研究表明，物联网（IoT）、人工智能（AI）及其分支领域、机器人系统等技术在智慧农业的研究与发展中占据主导地位。但需注意的是，部分技术仍处于研究阶段，尚未在实际农业应用中完全落地。2追求粮食安全——即所有人都能获得充足、安全且营养的食物——是采用智慧农业实践的核心驱动力。粮食安全进而支撑着人类健康、经济稳定与社会福祉。这是一个多维概念，包含四个核心维度：可得性、可及性、利用性和稳定性。保障粮食安全是一项基本人权，对弱势群体而言尤为重要。3根据联合国《2022年世界人口展望》，全球人口预计到2050年将增至97亿，到2100年达到104亿。人口增长叠加工业化、耕地缩减、金融危机、城市化加速、水资源短缺及环境挑战等其他因素，已使粮食安全成为全球性关切。事实上，这些根本性问题给作为食物主要供应来源的农业部门带来了严峻挑战。为有效满足日益增长的粮食数量与质量需求，相关方必须着力最大化农业生产力。这也凸显了传统农业向智慧农业转型的重要性——这一转型可通过整合先进技术与数据驱动方法实现。4我们正处于一个技术突破性发展的时代，人工智能、物联网、无线传感器网络、机器人系统、数字孪生和大数据等技术日新月异。这些技术通过无缝整合与交互重塑着各个行业，农业领域也不例外。它们在农业领域的应用催生了智慧农业。5智慧农业为农民配备了一系列创新工具，以应对粮食生产中的各类挑战，包括提高农业生产力、减少环境影响、强化粮食安全、降低作物损失以及推广可持续农业实践。例如，由人工智能驱动的机器人（如收割机器人）可优化收割流程，而物联网赋能的无线传感器网络能实时监测作物生长状态，提升整体效率与可持续性。无人机在智慧农业系统中可执行多种任务，如作物监测、农田测绘与分析、灌溉管理、病虫害防治及家畜养殖管理。此外，通过将数据驱动方法与先进软件应用相结合，智慧农业使农民能够分析来自无人机和传感器的实时数据，优化资源管理并提高生产力。6数字孪生技术堪称一场技术革命，它能创建实体农场的虚拟副本，让农民在实施变革前模拟各类场景。例如，奶牛场可利用数字孪生技术评估调整饲料成分对牛奶产量或甲烷排放的影响，助力数据驱动决策。智慧农业的其他应用还有效覆盖了杂草防治、水资源管理和土壤状况监测等领域。7值得注意的是，许多农业活动与气候变化及环境问题密切相关。极端高温、降雨异常、干旱、洪水、风暴等极端天气事件对农业生产造成显著影响。此外，农业部门也是温室气体排放的重要来源之一，这主要源于农业扩张导致的土地利用变化和森林砍伐。8智慧农业与气候智慧型农业原则高度契合，后者旨在通过改造和调整农业系统应对气候变化，同时保障粮食安全。借助先进技术，智慧农业在最大限度减少环境损害的同时，能够为不断增长的全球人口提供充足且营养的食物。这种兼顾生产力与可持续性的双重定位，使智慧农业成为应对气候变化挑战的关键解决方案。9展望未来，5G通信和边缘计算等新兴技术将消除偏远地区的技术延迟，使病虫害爆发等问题得到快速响应。研究机构与初创企业正探索群体机器人技术的潜力——这类由小型自主运行机器人组成的群体可协同完成除草或授粉工作，减少对大型机械的依赖。10随着这些技术的持续发展，智慧农业不仅将提升效率，还将成为全球粮食安全与环境可持续性的核心组成部分。通过融合创新理念与包容性，智慧农业有望打造一个这样的未来：农场不仅高产，还具备韧性与公平性，与地球生态系统和谐共生。GlobalunderstandingReadthepassageandcompletethesummarywithwordsorexpressionsfromthepassage.MThedevelopmentofsmartagricultureI.TheurgencyofagriculturaltransformationAgricultureservesacriticalroleinproviding1)_________________.However,itfacespressurefromtheworld’slarge2)____________andtheexistingresourcechallenges,necessitatingatransitiontosmartagriculture.humanfoodsourcespopulationII.ThedrivingforcesbehindsmartagricultureThepursuitof3)____________,astatewhereallpeoplehaveaccesstosufficient,safe,and4)____________food,isafundamentalmotivatorforsmarteragriculture.However,thisgoalfacesseriouschallengesfromagrowingpopulationandotherfactors,suchasindustrialization,5)_____________,andenvironmentalchallenges.foodsecurity

nutritiousurbanizationIII.TheTechnologicalfoundationofsmartagricultureTheagriculturaltransformationcanberealizedbytheintegrationof6)_____________________anddata-drivenmethods.Coretechnologiesinclude

AI,IoT,wirelesssensornetworks,roboticsystems,7)____________,andbigdata.Thesetechnologiesprovidefarmerswithdiverse8)_______________toaddressmultiplechallengesinagriculture.advancedtechnologiesdigitaltwinsinnovativetoolsIV.AsustainableandsecurefuturewithsmartagricultureSmartagricultureimproves9)____________andisvitaltoglob