Abstract
Rice disease which has intimate connection with climate has a tremendous impact on the output and quality of rice. The present paper intends to construct a web to monitor the climate environment of rice growing by making use of IOT(Internet of things) and to exactly spot the regions where related statistics are collected and warned by taking advantage of GIS and then by means of C# language and SQL server, to realize the visuality of system and database management. Thereafter, under fuzzy clustering algorithm based on the collected environmental data to judge whether the rice disease will happen and need warning in case that unnecessary lose is caused.The finding reveals that by practicing the present system in Rice Disease Department of Academy of Agricultural Science of Chang Chun, the system functions well in detecting the serious disease.
Chapter PDF
References
Su, M.Y., Liu, J.: Construction of rice diseases and insect pests prevention and control system. Rural Economy and Science-Technology (9), 162–163 (2013)
Feng, Y.: Policy research of the rice pest control system in guangdong province. South China Rural Area 28(7), 4–17 (2012)
Yuan, T., Chen, X., Ma, C., et al.: Research on the Comprehensive Prevention and Control System of Rice Diseases and Insect Pests in Yangtze River Farm. Chinese Agricultural Science Bulletin 29(27), 182–186 (2013)
Xiao, D., Gu, Z., Feng, J., et al.: Design and experiment of wireless sensor networks for paddyfield moisture monitoring. Transactions of the CSAE 27(2), 174–179 (2011) (in Chinese with English abstract)
Chen, X., Wang, X., Yuan, T., et al.: Construction of information service platform of integrated pest control of rice based on service-oriented architecture (SOA). Acta Agriculturae Shanghai 28(4), 127–131 (2012)
Sun, M., Luo, W., Feng, W., et al.: A Web-based expert system for diagnosis and control management of diseases in vegetable crops cultivated under protected conditions. Journal of Nanjing Agricultural University 37(2), 7–14 (2014)
Lai, J.C., Ming, B., Li, S.K., et al.: An Image-Based diagnostic expert system for corn diseases. Agricultural Sciences in China 9(8), 1221–1229 (2010)
Gonzalez-Andujar, J.L.: Expert system for pests, diseases and weeds identification in olive crops. Expert Systems with Applications 36(2), 3278–3283 (2009)
Abu-Naser, S.S., Kashkash, K.A., Fayyad, M.: Developing an expert system for plant diseases diagnosis. Journal of Artificial Intelligence 1(2), 78–85 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 IFIP International Federation for Information Processing
About this paper
Cite this paper
Zhao, G., Yu, H., Wang, G., Sui, Y., Zhang, L. (2015). Study on the Detection and Warning System of Rice Disease Based on the GIS and IOT in Jilin Province. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture VIII. CCTA 2014. IFIP Advances in Information and Communication Technology, vol 452. Springer, Cham. https://doi.org/10.1007/978-3-319-19620-6_38
Download citation
DOI: https://doi.org/10.1007/978-3-319-19620-6_38
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19619-0
Online ISBN: 978-3-319-19620-6
eBook Packages: Computer ScienceComputer Science (R0)