Abstract
According to space constraints of the traditional agricultural environment monitoring system, a small database called SQLite was transplanted into the ARM and Linux operation which could store and manage the field information. Users can get information anytime and anywhere through the GSM (Global System for Mobile Communications) network and the WSN(Wireless Sensor Network) by this design, instead of inquiring data from the PC(Personal Computer) which was widely used now. Sensors embedded in the environment, information spread in the air and captured by the handheld instruments, which is a typical application of pervasive computing.
Project supported by “the Key Program of Chongqing Natural Science” (CSTC2009BA1006) and “the Fundamental Research Funds for the Central Universities” (Grant No. XDJK2009C141).
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Han, H., Du, K., Sun, Z., Zhao, W., Chen, R., Liang, J.: Design and application of ZigBee based telemonitoring system for greenhouse environment data acquisition. Transactions of the CASE, 158–163 (2009)
Yost, M.: Data warehousing and decision support at the national agriculture statistics service. Social Science Computer Renew, 434–441 (2000)
Gao, F., Yu, L., Zhang, W., Xu, Q., Yu, L.: Research and design of crop water status monitoring system based on wireless sensor networks. Transactions of the CASE, 107–112 (2009)
Li, Z., Wang, N., Hong, T., Wen, T., Liu, Z.: Design of wireless sensor network system based on in-field soil water content monitoring. Transactions of the CASE, 212–217 (2010)
Jackson, T., Mansfield, K., Saafi, M., et al.: Measuring soil temperature and moisture using wireless MEMS sensors. Journal of Measurement, 381–390 (2007)
Huisman, J.A., Sperl, C., Bouten, W., et al.: Soil water content measurements at different scales: accuracy of time domain reflectometory and ground-penetrating radar. Journal of Hydrology, 48–58 (2001)
Shen, L.: Pervasive Computing. Computer Engineering & Science, 77–82 (2005)
Liao, D.: A Survey of the Pervasive Service. ZTE Communications, 32–35 (2008)
Zeng, X., Liu, G., Zheng, D., Zhang, R.: Study development of a field information acquisition system based on wireless technique. Chinese Society of Agricultural Engineering Collected Papers, 151–154 (2005)
Li, X., Wang, W., Lei, T., Shen, Y.: Prospects of the application of multisensor information fusion techniques in agricultural engineering. Transactions of the CASE, 10–13 (2003)
Zhou, G., Zhou, J., Miao, Y., Liu, C.: Development and application on GSM-based monitoring system for digital agriculture. Transactions of the CASE, 158–163 (2009)
Hu, W.: Study on SQLite Implementation on the Embedded System. Computer & Digital Engineering, 158–165 (2009)
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© 2011 IFIP International Federation for Information Processing
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Zhao, H., Wang, S., Wu, D. (2011). Pervasive Agricultural Environment Monitoring System Based on Embedded Database. In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18336-2_20
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DOI: https://doi.org/10.1007/978-3-642-18336-2_20
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