Abstract
Many of works in fields of agriculture for a long time have been based on agricultural experiences. Recently, rapid and unpredictable global climate changes and environmental pollution have made stable agricultural works, difficult. So, for a precision and smart agriculture, agricultural works have to be based on more complicated information and data, but simple experimental know-how in agricultural environments. In this paper, we propose a recommend service based on an agricultural expert knowledge model to support a precision agriculture with Internet, Sensors, and IT. The proposed service can automatically fuse valuable knowledge and experience in the agricultural fields according to experimental changes in the growth of crops, and can recommend best services to farmers. Therefore, with the proposed service, a farmer can easily and stably do agricultural works, irrespective of changes of crops and environmental changes.
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Cho, Y., Cho, K., Shin, C., Park, J., Lee, ES. (2012). A Recommend Service Based on Expert Knowledge Model in Agricultural Environments. In: Lee, G., Howard, D., Kang, J.J., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Lecture Notes in Computer Science, vol 7425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32645-5_24
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DOI: https://doi.org/10.1007/978-3-642-32645-5_24
Publisher Name: Springer, Berlin, Heidelberg
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