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温室环境控制方法研究进展分析与展望
引用本文:毛罕平,晋春,陈勇.温室环境控制方法研究进展分析与展望[J].农业机械学报,2018,49(2):1-13.
作者姓名:毛罕平  晋春  陈勇
作者单位:江苏大学,江苏大学;江苏科技大学,江苏大学
基金项目:国家自然科学基金重点项目(61233006)、江苏省农业科技自主创新资金项目(CX(15)1033-02)和江苏省高校优势学科建设工程项目(苏财教(2014)37号)
摘    要:温室环境优化调控方法和技术能有效改善温室作物的生产条件,提高光能资源的利用效率,从而实现温室作物的高产、高效、优质生产。为了充分利用国内外的研究成果,促进我国在该领域的研究与应用,从基于设定值、智能算法、多目标优化、多因子耦合和基于作物生长信息的环境控制方法等5方面,综述了温室环境控制方法的国内外研究进展。针对我国该领域的研究现状和存在的问题,提出今后应解决光/温/营养耦合高效控制机理、植物表型高通量检测方法等重大科学问题,突破信息感知、物联网、智慧管控等关键技术,形成具有中国特色的温室智能化测控技术体系。

关 键 词:温室  环境控制  智能算法  多目标优化  耦合  智慧管控
收稿时间:2017/12/10 0:00:00

Research Progress and Prospect on Control Methods of Greenhouse Environment
MAO Hanping,JIN Chun and CHEN Yong.Research Progress and Prospect on Control Methods of Greenhouse Environment[J].Transactions of the Chinese Society of Agricultural Machinery,2018,49(2):1-13.
Authors:MAO Hanping  JIN Chun and CHEN Yong
Institution:Jiangsu University,Jiangsu University;Jiangsu University of Science and Technology and Jiangsu University
Abstract:The optimal control methods and techniques of greenhouse environment can effectively improve the production conditions of greenhouse crops and utilization efficiency of light energy resources, so as to realize the production of high yield, high efficiency and high quality. In order to make full use of domestic and international research results in greenhouse environmental control, and promote Chinese development in greenhouse area, the recent research progress of greenhouse environment control methods was summarized from five aspects based on set point, intelligent algorithms, multi-objective optimization, multi-factors coupling and crop growth information. It was considered that the major scientific problems should be solved in the future, which involved efficient control mechanism of light/temperature/nutrition coupling, high-throughput detecting method of plant phenotype. In this way, the key technologies in greenhouse can be broken through, such as information perception, internet of things, wisdom management and control, etc. A technology system of intelligent measurement and control with Chinese characteristics in greenhouse would be formed.
Keywords:greenhouse  environment control  intelligent algorithms  multi-objective optimization  coupling  wisdom management and control
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