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作 者:贺冰洋 曹浩 司亚龙 He Bingyang;Cao Hao;Si Yalong(College of Mechanical Engineering,Anhui Science and Technology University,Fengyang,Anhui 233100,China;College of information&Network Engineering,Anhui Science and Technology University,Fengyang,Anhui 233100,China)
机构地区:[1]安徽科技学院机械工程学院,安徽凤阳233100 [2]安徽科技学院信息与网络工程学院,安徽凤阳233100
出 处:《黑龙江工业学院学报(综合版)》2024年第4期132-136,共5页Journal of Heilongjiang University of Technology(Comprehensive Edition)
基 金:安徽省教育厅协同创新项目(项目编号:GXXT-2023-105)。
摘 要:作为全球最大番茄产量国之一,我国大部分北方地区在使用传统灌溉方法时往往忽视降雨对灌溉的影响,导致浇水过多,造成了水资源的浪费。为了节约水资源,设计了一种基于降雨预报的番茄智能灌溉系统,该系统综合考虑未来降雨信息的影响,并结合传感器获取的湿度信息进行模糊推理,从而分析灌水时间,实现按需精准灌溉,提高灌溉系统的控制精度。该系统具有前瞻性的节水控制效果,能最大程度地节约水资源、提高番茄生长质量。经实验验证,该系统可以实现模糊控制下的智能灌溉,具有较好的实用性。As one of the world′s largest tomato producing countries,most northern regions of China often neglect the impact of rainfall on irrigation when using traditional irrigation methods,resulting in excessive watering and the waste of water resources.In order to save water resources,this paper designs an intelligent tomato irrigation system based on rainfall forecast.The system comprehensively considers the influence of future rainfall information,and combines the humidity information obtained by the sensor to conduct fuzzy reasoning,so as to analyze the irrigation time,realizing accurate irrigation on demand,and improving the control accuracy of the irrigation system.The system has forward-looking water saving control effect,which can save water resources and improve the growth quality of tomato.By experiment,the system can realize intelligent irrigation under fuzzy control and has good practicability.
分 类 号:S274.2[农业科学—农业水土工程] TP273[农业科学—农业工程]
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