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Managing Traditional Solar Greenhouse With CPSS: A Just-for-Fit Philosophy

文献类型：期刊论文

作者Kang, Mengzhen1,2; Fan, Xing-Rong3; Hua, Jing1,2; Wang, Haoyu2,4; Wang, Xiujuan1,5; Wang, Fei-Yue1,6,7
刊名IEEE TRANSACTIONS ON CYBERNETICS
出版日期2018-12-01
卷号48期号:12页码:3371-3380
关键词Big data cropping plan greenhouse management Internet of Things (IoT) modeling plant development and growth nonlinear programming smart agriculture solar greenhouse tomato
ISSN号2168-2267
DOI10.1109/TCYB.2018.2858264
通讯作者Wang, Xiujuan(xiujuan.wang@ia.ac.cn)
英文摘要The profit of greenhouse production is influenced by management activities (e.g., environmental control and plantation scheduling) as well as social conditions (e.g., price fluctuation). In China, the prevailing horticultural facility is the traditional solar greenhouse. The key existing problem is the lack of knowledge of growers, which in turn leads to inefficient management, low production, or unsalable products. To secure effective green-house management, the production planning system must account for the crop growing environment, grower's activities, and the market. This paper presents an agricultural cyber-physical-social system (CPSS) serving agricultural production management, with a case study on the solar greenhouse. The system inputs are derived from social and physical sensors, with the former collecting the price of agricultural products in a wholesale market, and the latter collecting the necessary environmental data in the solar greenhouse. Decision support for the cropping plan is provided by the artificial system, computational experiment, and parallel execution-based method, with description intelligence for estimating the crop development and harvest time, prediction intelligence for optimizing the planting time and area according to the expected targets (stable production or maximum gross profit), and prescription intelligence for online system training. The presented system fits the current technical and economic situation of horticulture in China. The application of agricultural CPSS could decrease waste in labor or fertilizer and support sustainable agricultural production.
WOS关键词DRIVEN MODELING APPROACH ; SIMULATING PLANT-GROWTH ; TOMATO ; AGRICULTURE ; CLIMATE
资助项目National Natural Science Foundation of China[61533019] ; National Natural Science Foundation of China[31400623] ; National Natural Science Foundation of China[31700315] ; Basic and Frontier Research Project of Chongqing Science and Technology Commission[cstc2018jcyjAX0587]
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
WOS记录号WOS:000450613100010
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; Basic and Frontier Research Project of Chongqing Science and Technology Commission
源URL[http://ir.ia.ac.cn/handle/173211/22590]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Wang, Xiujuan
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Qingdao Acad Intelligent Ind, Innovat Ctr Parallel Agr, Qingdao 266109, Peoples R China
3.Chongqing Technol & Business Univ, Sch Comp Sci & Informat Engn, Chongqing 400067, Peoples R China
4.Qingdao AgriTech Co Ltd, Technol Res & Dev Dept, Qingdao 266000, Peoples R China
5.Beijing Engn Res Ctr Intelligent Syst & Technol, Beijing 100190, Peoples R China
6.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
7.Natl Univ Def Technol, Res Ctr Mil Computat Expt & Parallel Syst Technol, Changsha 410073, Hunan, Peoples R China
推荐引用方式
GB/T 7714		 Kang, Mengzhen,Fan, Xing-Rong,Hua, Jing,et al. Managing Traditional Solar Greenhouse With CPSS: A Just-for-Fit Philosophy[J]. IEEE TRANSACTIONS ON CYBERNETICS,2018,48(12):3371-3380.
APA Kang, Mengzhen,Fan, Xing-Rong,Hua, Jing,Wang, Haoyu,Wang, Xiujuan,&Wang, Fei-Yue.(2018).Managing Traditional Solar Greenhouse With CPSS: A Just-for-Fit Philosophy.IEEE TRANSACTIONS ON CYBERNETICS,48(12),3371-3380.
MLA Kang, Mengzhen,et al."Managing Traditional Solar Greenhouse With CPSS: A Just-for-Fit Philosophy".IEEE TRANSACTIONS ON CYBERNETICS 48.12(2018):3371-3380.

入库方式： OAI收割

来源：自动化研究所

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