PLANNING OF REMOTE EXPERIMENTAL RESEARCH ON EFFECTS OF GREENHOUSE MICROCLIMATE PARAMETERS ON VEGETABLE CROP-PRODUCING

Publications

Share / Export Citation / Email / Print / Text size:

International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

GET ALERTS

eISSN: 1178-5608

DESCRIPTION

20
Reader(s)
49
Visit(s)
0
Comment(s)
0
Share(s)

VOLUME 10 , ISSUE 4 (December 2017) > List of articles

PLANNING OF REMOTE EXPERIMENTAL RESEARCH ON EFFECTS OF GREENHOUSE MICROCLIMATE PARAMETERS ON VEGETABLE CROP-PRODUCING

I.S. Laktionov * / O.V. Vovna / A.A. Zori

Keywords : plan of experiment, microclimate, greenhouse, monitoring, control

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 10, Issue 4, Pages 845-862, DOI: https://doi.org/10.21307/ijssis-2018-021

License : (BY-NC-ND 4.0)

Received Date : 17-August-2017 / Accepted: 12-November-2017 / Published Online: 01-December-2017

ARTICLE

ABSTRACT

The article presents a plan on experimental studies on substantiation of structural and algorithmic organization of computer-aided systems of remote adaptive monitoring and control of microclimate parameters of commercial greenhouses. There was developed a program component for remote monitoring of physicochemical parameters of greenhouse microclimate using the ‘Internet of Thing’ technology and modern mobile devices. There was offered a hardware component architecture of the system of monitoring and control of greenhouse microclimate parameters. Mathematical model of experimental research of the system was developed for five independent factors based on rotatable design planning of the second order. There were substantiated trends of priority research on efficiency improvement of commercial greenhouse complexes through realization and implementation of adaptive control algorithms of modes for vegetable crops growing.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

[1] M. Dorais. The use of supplemental lighting for vegetable crop production: light intensity,crop response, nutrition, crop management, cultural practices. Canadian Greenhouse Conference,2003: 1–8.
[2] Good agricultural practices for greenhouse vegetable crops; Rome, Italy, 2013.
[3] Management of the Greenhouse Environment. – Overview. http://qoo.by/2TKr (accessed August 14, 2017).
[4] D.T. Santosh, K.N. Tiwari, V.K. Singh, Raja Gopala Reddy. A micro climate control in greenhouse. International Journal of Current Microbiology and Applied Sciences, 2017, 6 (3): 1730–1742.
[5] N. Katsoulas, C. Kittas. Impact of greenhouse microclimate on plant growth and development with special reference to solanaceae. The European Journal of Plant Science and Biotechnology,2008, Special Issue 1: 31–44.
[6] Park Dae-Heon, Beom-Jin Kang, Kyung-Ryong Cho, etc. A Study on Greenhouse Automatic Control System Based on Wireless Sensor Network. Wireless Personal Communications:Elsevier, 2011, Vol. 56, iss. 1: 117–130.
[7] Chang Yang I., Kuang-Wen Hsieh, Chao-Yin Tsai, etc. Development of an automation system for greenhouse seedling production management using radio-frequency-identification and local remote sensing techniques. Engineering in Agriculture, Environment and Food: Elsevier, 2014, Vol. 7, iss. 1: 52–58.
[8] G. Martinovich, J. Simon. Greenhouse microclimatic environment controlled by a mobile measuring station. NJAS Wageningen Journal of Life Sciences: Elsevier, 2014, Vol. 70–71: 61–70.
[9] I. Laktionov, O. Vovna, A. Zori. Concept of low cost computerized measuring system for microclimate parameters of greenhouses. Bulgarian Journal of Agricultural Science, 2017, 23 (4): 668–673.
[10] A. Dean, D. Voss. Design and analysis of experiments; NY, USA, 1999.
[11] Gary W. Oehlert. A first course in design and of experiments; Minnesota, USA, 2010.
[12] N.K. Suryadevara, S.C. Mukhopadhyay. Wireless sensor network based home monitoring system for wellness determination of elderly. IEEE Sensors Journal, 2012, 12 (6): 1965–1972.
[13] S.D.T. Kelly, N.K. Suryadevara, S.C. Mukhopadhyay. Towards the implementation of IoT for environmental condition monitoring in homes. IEEE Sensors Journal, 2013, 13 (10): 3846–3853.
[14] S.H. Teay, C. Batunlu, A. Albarbar. Smart sensing system for enhanceing the reliability of power electronic devices used in wind turbines. International Journal on Smart Sensing and Intelligent Systems, 2017, 10 (2): 407–424.
[15] K. Malhi, S.C. Mukhopadhyay, J. Schnepper, M. Haefke, H. Ewald. A ZigBee-based wearable physiological parameters monitoring system. IEEE Sensors Journal, 2012, 12 (3): 423–430.
[16] Dhanalakshmi, A. Ezil Sam Leni. Instance vehicle monitoring and tracking with internet of things using Arduino. International Journal on Smart Sensing and Intelligent Systems, 2017, Special Issue: Recent Research in Network Security: 123–135.
[17] M. Anto Bennet, B. Thamilvalluvan, C.A. Hema Priya, B. Bhavani, M. Shalini. Android based home automation and energy conservation. International Journal on Smart Sensing and Intelligent Systems, 2017, Special Issue: Recent Research in Network Security: 69–86.
[18] RemoteXY – Overview. http://remotexy.com/en (accessed June 12, 2017).
[19] N. Tremblay, A. Gosselin. Effect of Carbon Dioxide Enrichment and Light. Hort Technology, 1998, 8 (4): 524–528.
[20] W. David Kelton, Russell R. Barton. Experimental design for simulation. Proceedings of the 2003 Winter Simulation Conference, 2003: 59–65.
[21] S. Coruh, S. Elevli, F. Geyikci. Statistical evaluation and optimization of factors affecting the leaching performance of copper flotation waste. Scientific World Journal, 2012: 1–8.

EXTRA FILES

COMMENTS