基于万物智联的自动化种植系统研究

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中图分类号：TP277 文献标志码：A 文章编号：2096-9902（2025）18-0006-04

DOI：10.20028/j.zhnydk.2025.18.002

Abstract：Inviewoftheproblemsoftraditionalagriculturalplantingrelyingonplantingexperience，lowresourceutlization， andlaggingpestanddiseasecontrol，thispaperhasresearchedanddesignedanautomatedsmartplantingsystembasedon technologiessuchasIntenetofEveryting（IE）artficalinteligeneandbigdata.Thesystmcolletsenvironmntalandcop datainrealtimethroughthesensinglayer，dynamicallyidentifiescropconditionsandmakesplantingoperationdecisionsthrough theAIaalysisanddecisionlayer，andaccuratelycontrolsequipmenttroughtheautomatedexecutionlayertoperformautomated plantingoperations，forminga"perception-analysis-decision-implementation-feedback"automatedplantingclosedloop. Experimentshaveshownthatthroughtheimplementationofthissystem，investmentinresourcessuchaswaterconservation， pesticides，ferilizersandlaborcanbegreatlysaved，plantingeficiencyandcropyieldcanbeimproved，andareusable technology paradigm can be provided for precision agriculture.

Keywords：Internetof Everything （IoE）;AI analysis;automatedplanting;decisionmodel;datacollection

随着城市化和工业化的发展，耕地面积不断减少，耕地资源面临严重的压力，而随着经济的发展，人们生活水平的日益提高，人们对粮食需求也在不断增加，对粮食安全提出了更高的要求，给粮食生产带来了更大的挑战。（剩余5111字）