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Analyzing and Predicting the Green House Parameters of Crops

by P. S. Asolkar, U. S. Bhadade
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 15
Year of Publication: 2014
Authors: P. S. Asolkar, U. S. Bhadade
10.5120/16672-6673

P. S. Asolkar, U. S. Bhadade . Analyzing and Predicting the Green House Parameters of Crops. International Journal of Computer Applications. 95, 15 ( June 2014), 28-39. DOI=10.5120/16672-6673

@article{ 10.5120/16672-6673,
author = { P. S. Asolkar, U. S. Bhadade },
title = { Analyzing and Predicting the Green House Parameters of Crops },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 15 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 28-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number15/16672-6673/ },
doi = { 10.5120/16672-6673 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:19:32.694007+05:30
%A P. S. Asolkar
%A U. S. Bhadade
%T Analyzing and Predicting the Green House Parameters of Crops
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 15
%P 28-39
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As it is well known, Monitoring and controlling of green house parameters plays a crucial role for quality production of crops. Different techniques have been developed in past for actual monitoring and controlling of major green house parameters such as temperature, humidity, soil moisture, light intensity and CO2 in atmosphere. Controlling of parameters is done by means of relays. The main target of proposed system is to develop hardware implementation module which is capable of measuring temperature, humidity, soil moisture, light intensity and CO2 concentration of crops in green house. This paper also presents the analysis and prediction of green house parameters. Crops selected for analysis and prediction are namely Cucumber, Tomato, Brinjal, Papaya and Chilies. The wireless media of communication used is global system for mobile communication (GSM) technology to assist the control and monitoring of process plants. Five samples of crops are taken as mentioned above and the system had been tested for these crops in green house environment. Finally estimation of total power consumption and total expense consume per annum has been done for controlling devices. This will be helpful for farmers as he will be able to predict the total expense of controlling action for crops. At the same time, it is seen that quality and quantity of products with controlling action is increased than crops grown without controlling action. .

References
  1. Darko Stipanieev, Mmmber, IEEE, Maja Eiae and Jadranka Marasoviae, Member, IEEE "Networked embedded greenhouse monitoring and control" Volume:2 Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference.
  2. M. Mancuso and F. Bustaffa, "A Wireless Sensors Network for Monitoring Environmental Variables in a Tomato Greenhouse," presented at 6th IEEE International Workshop on Factory Communication Systems in Torino, Italy, June 28-30, 2006.
  3. H. Liu, Z. Meng and S. Cui, " A Wireless Sensor Network Prototype for Environmental Monitoring in Greenhouses," presented at Wireless Communications, Networking and Mobile Computing 2007 (WiCom 2007), International Conference on 21-25 Sept. 2007 Page(s): 2344 – 2347.
  4. H. Liu, Z. Meng and S. Cui, " A Wireless Sensor Network Prototype for Environmental Monitoring in Greenhouses," presented at Wireless Communications, Networking and Mobile Computing 2007 (WiCom 2007), International Conference on 21-25 Sept. 2007 Page(s): 2344 – 2347.
  5. Jifeng Ding; Jiyin Zhao; Biao Ma; "Remote Monitoring System of Temperature and Humidity 4. Based on GSM Image and Signal Processing," 2009. CISP '09. 2nd International Congress on Digital Object Identifier: 10. 1109/CISP. 2009. 5304519 Publication Year: 2009, Page(s): 1 – 4 IEEE CONFERENCES
  6. Orazio Mirabella and Michele Brischett "Hybrid Wired/Wireless Networking Infrastructure For Greenhouse Management", IEEE transactions on instrumentation and measurement, vol. 60, no. 2, February 2011.
  7. Y. Zhou, X. Yang, X. Guo, M. Zhou, and L. Wang, "A design of greenhouse monitoring & control system based on ZigBee wireless sensor network," in Proc. Int. Conf. WiCom, Sep. 21–25, 2007, pp. 2563–2567.
  8. L. Gonda and C. E. Cugnasca, "A proposal of greenhouse control using wireless sensor networks," in Proc. 4th World Congr. Conf. Comput. Agric. Nat. Resour. , Orlando, FL, Jul. 24–26, 2006.
  9. B. van Tuijl, E. van Os, and E. van Henten, "Wireless sensor networks: State of the art and future perspective," in Proc. Int. Symp. High Technol. Greenhouse Syst. Manage. (Greensys), 2007, pp. –554.
  10. G. Gaderer, P. Loschmidt, and A. Mahmood, "A novel approach for flexible wireless automation in real-time environments," in Proc. IEEE Int. WFCS, Dresden, Germany, May 21–23,2008,pp. 81.
  11. . Hui, L. , M. Zhijun, and C. Shuanghu. A Wireless Sensor Network Prototype for Environmental Monitoring in Greenhouses. in WiCom 2007. International Conference on Wireless Communications, Networking and Mobile Computing, sept 2007, pp 2344-2350
  12. . Akyildiz, I. F. , et al. , Wireless sensor networks: a survey. Computer Networks, 2002. 38(4): pp. 393-422. 22. Burrell, J. , T. Brooke, and R. Beckwith, Vineyard computing: sensor networks in agricultural production. Pervasive Computing, IEEE, 2004. 3(1): pp. 38-45.
  13. . Burrell, J. , T. Brooke, and R. Beckwith, Vineyard computing: sensor networks in agricultural production. Pervasive Computing, IEEE, 2004. 3(1): pp. 38-45.
  14. . Qiang, G. and C. Ming, Research and Design of Web-Based Wireless Sensor Network Management System for Greenhouse, in Proceedings of the 2008 International School of Engineering and Advanced Technology, Massey University Page 148.
  15. Rangan, K. and Vigneswaran, T. "An Embedded systems approach to monitor green house", Published in: Recent Advances in Space Technology Services and Climate Change (RSTSCC), 2010.
  16. Zhisong Wang and Shihua Li ; Qi Hao ; Linlin Li "Research of intelligent greenhouse remote monitor system based on embedded network and wireless transmission technology", Published in: Electrical and Control Engineering (ICECE), 2011 International Conference on 16-18 Sept. 2011.
  17. G. J. Timmerman and P. G. H Kamp, "Computerised Environmental Control in Greenhouses," PTC, The Netherlands, Page(s): 15–124, 2003.
  18. . Bakker, J. C. , Greenhouse climate control: an integrated approach, ed. J. C. Bakker. 1995, Wageningen Wageningen Pers.
  19. . Mastalerz, J. W. , The greenhouse environment : the effect of environmental factors on the growth and development of flower crops. 1977, New York: Wiley.
  20. . Nelson, P. V. , Greenhouse operation and management. 6 ed. 2003, Upper Saddle River, NJ Prentice Hall.
  21. Kenneth J Ayala, The 8051 Microcontroller Architecture, Programming & Applications, Penram International, 2nd Edition, 1996.
Index Terms

Computer Science
Information Sciences

Keywords

green house parameters controlling devices GSM sensors .

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