Abstract
Typically, most of the agricultural works have to consider not only fixed data related with a cultivated crop, but also various environmental factors which are dynamically changed. Therefore, a farmer has to consider readjust the fixed data according to the environmental conditions in order to cultivate a crop in optimized growth environments. However, because the readjustment is delicate and complicated, it is difficult for user to by hand on a case by case. To solve the limitations, this paper introduces an approach for self-growing agricultural knowledge cloud in smart agriculture. The self-growing agricultural knowledge cloud can offer a user or a smart agricultural service system the optimized growth information customized for a specific crop with not only the knowledge and the experience of skillful agricultural experts, but also useful analysis data, and accumulated statistics. Therefore, by using the self-growing agricultural knowledge cloud, a user can easily cultivate any crop without a lot of the crop growth information and expert knowledge.
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Acknowledgments
This work was supported by the Industrial Strategic technology development program, 10040125, Development of the Integrated Environment Control S/W Platform for Constructing an Urbanized Vertical Farm funded by the Ministry of Knowledge Economy (MKE, Korea). And this research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) founded by the Ministry of Education. Science and Technology (2011-0014742).
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Kim, T., Bae, NJ., Shin, CS., Park, J.W., Park, D., Cho, YY. (2013). An Approach for a Self-Growing Agricultural Knowledge Cloud in Smart Agriculture. In: Park, J., Ng, JY., Jeong, HY., Waluyo, B. (eds) Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 240. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6738-6_86
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DOI: https://doi.org/10.1007/978-94-007-6738-6_86
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