Real-time remote monitoring system for crop water requirement information
Keywords:
crop water requirement, information collection, microcontroller, real time monitoring, irrigation decision makingAbstract
Abstract: Rapidly acquiring and real-time transmitting crop water requirement information constitute the basis for achieving intelligent diagnosis and precision irrigation. In order to collect and transmit crop water requirement information at real time, a new microcontroller-based real-time remote monitoring system was designed, including system hardware design, software and anti-jamming design. The system achieved the functions including clock reading, information configuration, LCD display, keyboard control, data sending and receiving, multi-channel information acquisition, conversion and storage. Laboratory and field tests showed that the system can achieve data acquisition and real-time display of the crop water requirement information. Unlike the current weather station, the system collects crop water information, meteorological factors and soil parameters at the same time. It has a high level of stability and acquisition accuracy, and can meet the requirements for real-time remote monitoring of the crop water requirement information for irrigation decision-making. Keywords: crop water requirement, information collection, microcontroller, real time monitoring, irrigation decision making DOI: 10.3965/j.ijabe.20140706.006 Citation: Han W T, Xu Z Q, Zhang Y, Cao P, Chen X W, Ooi S K. Real-time remote monitoring system for crop water requirement information. Int J Agric & Biol Eng, 2014; 7(6): 37-46.References
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[2] Han W T, Yao X M, Lao D Q, Wu P T. A dynamic- simulation system for sprinkler water 3d-distribution using multiple tools integration. Journal of Convergence Information Technology, 2013; 8(2): 170–176.
[3] Han W T, Wu P T, Yang Q, Feng H. Advances and comparisons of uniformity evaluation index of sprinkle irrigation. Transactions of the CSAE, 2005; 21(9): 172–177. (in Chinese with English abstract)
[4] Huang Y X, Han W T, Zhou L, Liu W S, Liu J D. Farmer cognition on water-saving irrigation technology and its influencing factors analysis. Transactions of the CSAE, 2012; 28(18): 113–120. (in Chinese with English abstract)
[5] Han W T. Calculation of sprinkler irrigation uniformity by double interpolation using cubic splines and linear lines. Transactions of the CSAM, 2008; 39(10): 134–139. (in Chinese with English abstract)
[6] Han W T, Wu P T, Feng H, Yang Q. Theoretical study on variable-rate sprinklers for high uniformity precision irrigation. Transactions of the CSAE, 2005; 21(10): 13–16. (in Chinese with English abstract)
[7] Sathish K, Thilagavathi G. Online farming based on embedded systems and wireless sensor networks. ICCPEIC 2013; 71–74.
[8] Chávez J L, Pierce F J, Elliott T V. Precision irrigation with wireless monitoring and control system technology. ASABE, 2010; 1: 258–269.
[9] Miskam M A, Rahim I A, Sidek O. Deployment of wireless water-quality monitoring system at Titi Serong paddy crop field, Malaysia. Proceedings-2013 IEEE 3rd International Conference on System Engineering and Technology, ICSET 2013; 57–60.
[10] EL-Magd I A, Tanton T. Remote sensing and GIS for estimation of irrigation crop water demand. International Journal of Remote Sensing, 2005; 26(11): 2359–2370.
[11] Wang Y L. Research of Field Information Remote Monitoring System Based on GPRS. Master dissertation, Jiangsu University, 2008. (in Chinese with English abstract)
[12] Casa R, Rossi M, Sappa G, Trotta A. Assessing crop water demand by remote sensing and GIS for the Pontina Plain, Central Italy. Water Resour. Manage., 2009; 23(9): 1685– 1712. doi:10.1007/s11269-008-9347-4
[13] Li X X. Research of Field Environment Information Acquisition System Based on Embedded Technology. Master dissertation, Harbin Engineering University, 2009. (in
Chinese with English abstract)
[14] Fisher D K, Kebede H. A low-cost microcontroller-based system to monitor crop temperature and water status. Computers and Electronics in Agriculture, 2010; 74(1): 168–73.
[15] Rossi S, Rampini A, Bocchi S, Boschetti M. Operational monitoring of daily crop water requirements at the regional scale with time series of satellite data. Journal of Irrigation and Drainage Engineering, 2010; 136: 225–231.
[16] Gao F, Yu L, Wang Y, Lu S Q, Zhang W A, Yu L J. Development of host computer software for crop water status monitoring system based on wireless sensor networks. Transactions of the CSAE, 2010; 26(5): 175–181.
[17] Liu B J, Shao D G, Shen X P. Advances in researches on the spatial-temporal features of crop water requirment. Transactions of the CSAE, 2007; 23(5): 258–264. (in Chinese with English abstract)
[18] Zhang J Y, Duan A W, Sun J S, Meng Z J, Liu Z G. Advances in automated monitoring and diagnosis of crop water status. Transactions of the CSAE, 2006; 22(1): 174–178. (in Chinese with English abstract)
[19] Shang H J, Ma X Y, Gao J E, Wang Z N, Zhao X N. Research on computing model components for crop water requirements and its application. Water Saving Irrigation, 2011; 8: 66–72. (in Chinese with English abstract)
[20] Jensen M E, Burman R D, Allen R G. Evapotranspiration and irrigation water requirements. ASCE Manual 70, 1990.
[21] Strobl R, Robillard P, Shannon R, Day R, McDonnell A. A water quality monitoring network design methodology for the selection of critical sampling points: Part I. Environmental Monitoring and Assessment, 2006; 112: 137–158.
[22] Greenwood D J, Zhang K, Hilton H W, Thompson A J. Opportunities for improving irrigation efficiency with quantitative models, soil water sensors and wireless technology. Journal of Agricultural Science, 2010; 148: 1–16.
[23] Riquelme J A, Soto F, Suardiaz J, Sanchez P, Iborra A, Vera J A. Wireless sensor networks for precision horticulture in Southern Spain. Computers and Electronics in Agriculture, 2009; 68(1): 25–35.
[24] Shukla S, Yu C Y, Hardin J D, Jaber F H. Wireless data acquisition and control systems for agricultural water management projects. Horttechnology, 2006; 16(4): 595– 604.
[25] Gao F, Yu L, Zhang W A, Xu Q X, Yu L J. Research and design of crop water status monitoring system based on wireless sensor networks. Transactions of the CSAE, 2009; 25(2): 107–112. (in Chinese with English abstract)
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Published
2014-12-30
How to Cite
Wenting, H., Zhiping, X., Yang, Z., Pei, C., Xiangwei, C., & Ooi, S. K. (2014). Real-time remote monitoring system for crop water requirement information. International Journal of Agricultural and Biological Engineering, 7(6), 37–46. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/835
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Information Technology, Sensors and Control Systems
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