Acknowledgement
"본 연구는 과학기술정보통신부 및 정보통신기획평가원의 지역지능화혁신인재양성(Grand ICT연구센터) 사업의 연구결과로 수행되었음"(IITP-2023-2020-0-01489)
References
- S. Li, S. Peng, W. Chen, and X. Lu, "INCOME: Practical land monitoring precision agriculture with sensor networks," Computer Communications, vol. 36, no. 4, 2013, pp. 459-467. https://doi.org/10.1016/j.comcom.2012.10.011
- A. D. Jones, F. M. Ngure, G. Pelto, and S. L. Young, "What are we assessing when we measure food security? A compendium and review of current metrics," Advances in Nutrition, vol. 4, no. 5, 2013, pp. 481-505. https://doi.org/10.3945/an.113.004119
- Y. Cai, K. Guan, J. Peng, S. Wang, C. Seifert, and Z. Li, "A high-performance and in-season classification system of field-level croptypes using time-series Landsat data and a machine learning approach," Remote Sensing of Environment, vol. 210, 2018, pp. 35-47. https://doi.org/10.1016/j.rse.2018.02.045
- A. Kaya, A. S. Keceli, C. Catal, H. Y. Yalic, H. Temucin, and B. Tekinerdogan, "Analysis of transfer learning for deep neural network based plant classification models," Computers and Electronics in Agriculture, vol. 158, 2019, pp. 20-29. https://doi.org/10.1016/j.compag.2019.01.041
- A. Kamilaris and F. X. Prenafeta-Boldu, "Deep learning in agriculture: A survey," Computers and Electronics in Agriculture, vol. 147, 2018, pp. 70-90. https://doi.org/10.1016/j.compag.2018.02.016
- H. Huang, M. Lin, and Q. Zhang, "Double-Q learning based DVFS for multi-core real-time systems," in Proc. IEEE Int. Conf. Internet Things(iThings), Exeter, United Kingdom, 2017.
- K. Peng, R. Jiao, J. Dong, and Y. Pi, "A deep belief network based healthindicator construction and remaining useful life prediction using improvedparticle filter," Neurocomputing, vol. 361, 2019, pp. 19-28. https://doi.org/10.1016/j.neucom.2019.07.075
- F. Du, J. Zhang, J. Hu, and R. Fei, "Discriminative multi-modal deep generative models," Knowledge Base System, vol. 173, 2019, pp. 74-82. https://doi.org/10.1016/j.knosys.2019.02.023
- S. Jung and S. Lee, "A Queue Management Mechanism for Service groups based on Deep Reinforcement Learning," J. of the Korea Institute of Electronic Communication Sciences, vol. 15, no. 6, 2020, pp. 1099-1104.
- S. Lee, "A Routing Algorithm based on Deep Reinforcement Learning in SDN," J. of the Korea Institute of Electronic Communication Sciences, vol. 16, no. 6, 2021, pp. 1153-1160.
- M. D. Johnson, W. W. Hsieh, A. J. Cannon, A. Davidson, and F. Bedard, "Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods," Agricultural and Forest Meteorology, vol. 218-219, 2016, pp. 74-84. https://doi.org/10.1016/j.agrformet.2015.11.003
- A. Tolba, O. Said, and Z. Al-Makhadmeh, "MDS: Multi level decision sys tem for patient behavior analysis based on wearable device information," Computer Communications, vol. 147, 2019, pp. 180-187. https://doi.org/10.1016/j.comcom.2019.08.022