1 |
Chai, T., and R. R. Draxler, 2014: Root mean square error (RMSE) or mean absolute error (MAE)? - arguments against avoiding RMSE in the literature. Geoscientific model development 7(3), 1247-1250.
DOI
|
2 |
Choi, J., D. Kwak, and S. Kwon, 2019: Study on conversion permission standard considering the topography and ecological location of the mountain areas. The Korean Association of Geographic Information Studies 22(4), 59-71. (in Korean with English abstract)
|
3 |
Hur, T., C. Yun, and S. Joo, 2012: Forest site environments and soil properties of allium victorialis var. platyphyllum in Ullengdo. Journal of Agriculture & Life Science 46(3), 19-26. (in Korean with English abstract)
|
4 |
Kim, J., M. Yang, and S. Yoon, 2020: The long-term agricultural weather forecast methods using machine learning and GloSea5: on the cultivation zone of Chinese cabbage. Journal of Digital Convergence 18(4), 243-250. (in Korean with English abstract)
DOI
|
5 |
Im, J., and S. Yoon, 2019: Comparison of quantitative precipitation estimate using geostatistical models. The Korean Data and Information Science Society 30(1), 77-89. (in Korean with English abstract)
DOI
|
6 |
Jang, S., H. Chun, I. Cho, and D. Kim, 2017: A study on cabbage wholesale price forecasting model using unstructured agricultural meteorological data. Journal of the Korean & Information Science Society 28(3), 617-624. (in Korean with English abstract)
|
7 |
Kang, T., H. Lee, I. Kang, and T. Heo, 2014: A study on spatial prediction of water quality constituents using spatial model. Journal of Korean Society on Water Environment 30(4), 409-417. (in Korean with English abstract)
DOI
|
8 |
Kim, M., S. Hong, and S. Yoon, 2018: The comparison of peach price and trading volume prediction model using machine learning technique. Journal of The Korean Data Analysis Society 20 (6), 2933-2940. (in Korean with English abstract)
DOI
|
9 |
Lee, K., H. Back, C. Cho, and W. Kwon, 2011: The recent (2001-2010) changes on temperature and precipitation related to normals (1971-2000) in Korea. The Korean Geographical Society 45(2), 237-248. (in Korean abstract)
|
10 |
Park, S., P. R. Kadavi, and C.-W. Lee, 2018: Landslide Susceptibility apping and comparison using probabilistic models: a case study of Sacheon, Jumunzin area, Korea. Korean Journal of Remote Sensing 34(5), 721-738. (in Korean with English abstract)
DOI
|
11 |
Yoo, J., 2015: Random forests, an alternative data mining technique to decision tree. Journal of Educational Evaluation 28(2), 427-448. (in Korean with English abstract)
|
12 |
Park, Y., M. Kim, S. Park, and S. Oh, 2015: Effect of weather conditions on fruit characteristics and yield of "Sangjudungsi" persimmon cultivar in Sangju, Gyeongsangbuk-do. Korean Journal of Agricultural and Forest Meteorology 17(4), 340-347. (in Korean with English abstract)
DOI
|
13 |
Woo, K., J. Park, and H. Lee, 2008: Sensitivity analysis of ordinary kriging interpolation according to different variogram models. Journal of the Computational Structural Engineering Institute of Korea 21(3), 295-304. (in Korean with English abstract)
|
14 |
Yang, M., and S. Yoon, 2018: Production of agricultural weather information by deep learning. Journal of Digital Convergence 16(12), 293-299. (in Korean with English abstract)
DOI
|
15 |
Yun, H., Y. Lee, K. Lee and Y. Lee, 2007: Planting of field crops and nutritional balance: case study. Soil science and fertilizer 31, 19-25. (in Korean abstract)
|
16 |
Yun, J., 2014: Agrometeorological early warning system: a service infrastructure for climate-smart agriculture. Korean Journal of Agricultural and Forest Meteorology 16(4), 403-417. (in Korean with English abstract)
DOI
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