Managing Traditional Solar Greenhouse With CPSS: A Just-for-Fit Philosophy
Kang, Mengzhen1,2; Fan, Xing-Rong3; Hua, Jing1,2; Wang, Haoyu2,4; Wang, Xiujuan1,5; Wang, Fei-Yue1,6,7
Source PublicationIEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
2018-12-01
Volume48Issue:12Pages:3371-3380
Corresponding AuthorWang, Xiujuan(xiujuan.wang@ia.ac.cn)
AbstractThe 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.
KeywordBig data cropping plan greenhouse management Internet of Things (IoT) modeling plant development and growth nonlinear programming smart agriculture solar greenhouse tomato
DOI10.1109/TCYB.2018.2858264
WOS KeywordDRIVEN MODELING APPROACH ; SIMULATING PLANT-GROWTH ; TOMATO ; AGRICULTURE ; CLIMATE
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation of China ; Basic and Frontier Research Project of Chongqing Science and Technology Commission
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000450613100010
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/22591
Collection复杂系统管理与控制国家重点实验室_先进控制与自动化
Corresponding AuthorWang, Xiujuan
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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.
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