基于云原生技术的大田土壤摘情采集系统节点案例研究

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中图分类号：S126 文献标志码：A

Abstract：Toimprovetheeficiencyofintellgentirrgationsystemsinthefield，achievedprecisemonitringofsoilmosureand ensurethenormal growthanddevelopmentofcrops，thisstudyutilizedlongrangewirelesscommunication（LORA），soilmoisture sensors，gateway，ndothertechnologiestoconstructacloudnativesoilmoisturecolectionsstem.Anaropriatenumberofode wereselectedascasestotestthesystem’sloadcapacity、powerconsumption、andcommunication distanceofthesystem，Field experimentswereconductedtoverifythespatiotemporaldataofthesoilmoisturecollctionsystem．Resultsshowedthatthesoil moisturecollctionsystembasedonLORALANcouldachievestablecommunicationfor3km，withastaticpowerconsumptionofabout （20 2 2 0 μ A forthe hardware device.Whennotchargingandthecollection time intervalwas 3O minutes，theendurancecapacityof sensor duringeachsoillayerwasnotlessthan3Odays，thedataforfieldtestingshowedthatthesoilmoisturecolectionsystemwasacurate andreliableintermsofspatialandtemporalsoilmoisturedata，andcouldachieveconiuousobservationunderlong-termseries.This studyprovidesreferenceforthedevelopmentandoptimizationofafieldsoilmoisturecolectionsystembasedoncloudnative technology，whileoffering a technical foundation for inteligent irrigation and fertilization decision-making. Key words：LORA;soil moisture;soil salinity ;monitoring device;low power consumption

2022年《中国水资源公报》显示我国水资源时空分布不均、用水效率和结构仍需提高和优化，其中农业用水占比 。（剩余12877字）