The Design of a Monitoring System Based on GPRS for Rice Production Environment

Abstract:

This paper introduced a monitoring system of rice production, which can monitor the ambient temperature, humidity, the temperature of rice water and soil and Terrace surface runoff water in the process of rice production. All the testing data are firstly aggregated to a cluster node, and then transmitted to network datacenter through the GSM, so that users can access the datacenter server for the data related to the production environment. The monitoring system has been installed in the experimental field at the village of Qingkou, Yuanyang County, Yunnan Province. It has been running normally for one year. The system can monitor the real-time meteorological factors affecting the growth of rice, which provides the supporting data for exerting comprehensive control of insect pests and studying in-depth the problems of water terraces and nutrient balance before increasing the yield of rice and improving the quality of rice.

• Periodical: Applied Mechanics and Materials (Volumes 295-298)
• Pages: 954-958
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.295-298.954
• Online since: February 2013
• Authors: Xue Ming Mi, Tian Shun Zhang, Shao Kun Lu, You Bo Su
• Keywords: Meteorological Elements, Sensor Network, Terraced Field, Water Requirements

References

[1] Magazine of yuanyang country complilation committee, magazine of Yuanyang country, Guizhou minorities press: Guiyang, China (1990).

[2] Chahal GBS, Sood A, Jalota SK, Choudhury BU, Sharma PK. Yield, evapotranspiration and water productivity of rice (Oryza sativa L. )-wheat (Triticum aestivum L. ) system in Punjab (India) as influenced by transplanting date of rice and weather parameters. Agr Water Manage. 2007; 88: 14-22.

DOI: 10.1016/j.agwat.2006.08.007

[3] Chen W, Chi D, Tai E, Zhang X, Chen T. Effect of soil water potential controlling on the rice growth.: 2nd International Conference on Civil Engineering, Architecture and Building Materials, CEABM 2012, May 25, 2012 - May 27, 2012. Yantai, China, Trans Tech Publications, 2012, pp.2407-13.

DOI: 10.4028/www.scientific.net/amm.170-173.2407

[4] Shimono H, Hasegawa T, Kuwagata T, Iwama K. Modeling the effects of water temperature on rice growth and yield under a cool climate: II. Model application. Agron J. 2007; 99: 1338-44.

DOI: 10.2134/agronj2007.0149

[5] Wang KQ, Cai K. On design of sensor nodes in the rice planthopper monitoring system based on the Internet of things.: PIAGENG 2010 - Photonics and Imaging for Agricultural Engineering, December 25, 2010 - December 26, 2010. Shanghai, China, SPIE, 2011, p. Wuhan Institute of Technology; Huanggang Normal University; Intelligent Inf. Technol. Appl. Res. Assoc.

DOI: 10.1117/12.887423

[6] Wang KQ, Cai K. On design of sensor nodes in the rice planthopper monitoring system based on the Internet of things.: PIAGENG 2010 - Photonics and Imaging for Agricultural Engineering, December 25, 2010 - December 26, 2010. Shanghai, China, SPIE, 2011, p. Wuhan Institute of Technology; Huanggang Normal University; Intelligent Inf. Technol. Appl. Res. Assoc.

DOI: 10.1117/12.887423

[7] Xiao K, Xiao D, Luo X. Smart water-saving irrigation system in precision agriculture based on wireless sensor network. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering. 2010; 26: 170-5.

[8] Song J. Greenhouse monitoring and control system based on zigbee wireless senor network.: International Conference on Electrical and Control Engineering, ICECE 2010, June 26, 2010 - June 28, 2010. Wuhan, China, IEEE Computer Society, 2010, pp.2785-8.

DOI: 10.1109/icece.2010.680

[9] Shi C, Jin Z, Feng H. A study on dynamic forecast technique of regional rice productivity.: 3rd International Symposium on Information Processing, ISIP 2010, November 12, 2010 - November 14, 2010. Qingdao, China, IEEE Computer Society, 2010, pp.263-6.

DOI: 10.1109/isip.2010.77

[10] Shimono H, Hasegawa T, Kuwagata T, Iwama K. Modeling the effects of water temperature on rice growth and yield under a cool climate: II. Model application. Agron J. 2007; 99: 1338-44.

DOI: 10.2134/agronj2007.0149