Online Calibration of Environmental Monitoring in Solar Greenhouse Based on Internet of Things

doi:10.11924/j.issn.1000-6850.casb18100028

Chinese Agricultural Science Bulletin ›› 2020, Vol. 36 ›› Issue (5): 120-124.doi: 10.11924/j.issn.1000-6850.casb18100028

Special Issue: 智慧农业

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Online Calibration of Environmental Monitoring in Solar Greenhouse Based on Internet of Things

Hua Jing¹^,², Wang Xiujuan¹^,³, Wang Haoyu¹^,⁴, Guo Shaoxin¹^,⁴, Kang Mengzhen¹^,²()

¹ The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation,Chinese Academy of Sciences (SKL-MCCS, CASIA), Beijing 100190
² Qingdao Academy of Intelligent Industries,Parallel Agricultural Technology Innovation Center, Qingdao Shandong 266000
³ Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation of Academia Sinica,Beijing 100190
⁴ Qingdao AgriTech Co., Ltd, Qingdao Shandong 266000

Received:2018-10-10 Revised:2018-12-19 Online:2020-02-15 Published:2020-02-21
Contact: Kang Mengzhen E-mail:kang@ia.ac.cn

Abstract

Abstract:

Greenhouse environmental conditions, especially temperature, play a crucial role in crop growth and development. Temperature is one of the main environmental factors that can be regulated in the greenhouse. However, under natural environment, the light condition takes effect on temperature level, which further influences the monitoring precision of air temperature. Based on Support Vector Machine (SVM) algorithm in machine learning, an intelligent algorithm was proposed which calibrated the monitored temperature according to the illumination level. By comparing the calibrated air temperatures with the monitored data, the results indicated that the proposed method could monitor accurately the air temperature without using insulation materials or shading treatment, which was the basis for regulating the environmental factors. With this method, online temperature data could be obtained using commonly-used industrial device, which could save cost and provide accurate data for greenhouse control.

Key words: solar greenhouse, temperature monitoring, online calibration, intelligent algorithm, remote calibration

CLC Number:

Hua Jing, Wang Xiujuan, Wang Haoyu, Guo Shaoxin, Kang Mengzhen. Online Calibration of Environmental Monitoring in Solar Greenhouse Based on Internet of Things[J]. Chinese Agricultural Science Bulletin, 2020, 36(5): 120-124.

Figures/Tables 6

References 21

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Online Calibration of Environmental Monitoring in Solar Greenhouse Based on Internet of Things

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