Introduction to Empirical Approach to Estimate Rice Yield and Comparison with Remote Sensing Approach |
Kim, Junhwan
(Crop physiology and production, National Institute of Crop Science, Rural Development Administration)
Lee, Chung-Kuen (Planning and Coordination, National Institute of Crop Science, Rural Development Administration) Sang, Wangyu (Crop physiology and production, National Institute of Crop Science, Rural Development Administration) Shin, Pyeong (Crop physiology and production, National Institute of Crop Science, Rural Development Administration) Cho, Hyeounsuk (Crop physiology and production, National Institute of Crop Science, Rural Development Administration) Seo, Myungchul (Crop physiology and production, National Institute of Crop Science, Rural Development Administration) |
1 | Hong S.Y., Hur J., J. Ahn, J. Lee, B. Min, C. Lee, Y. Kim, K. Lee, S. Kim, G.Y. Kim, and K. M. Shim, 2012. Estimating rice yield using MODIS NDVI and meteorological data in Korea, Korean Journal of Remote Sensing, 28:509-520 (in Korean with English abstract). DOI |
2 | Jeong, J.H., J.P. Resop, N.D. Mueller, D.H. Fleisher, K. Yun, E. E. Butler, D.J. Timlin, K.M. Shim, J.S. Gerber, V.R. Reddy, and S.H.Kim, 2016. Random Forests for Global and Regional Crop Yield Predictions, PLoS One, 11(6): e0156571, doi:10.1371/journal.pone.0156571. DOI |
3 | Kim J., J. Shon, C.K. Lee, W. Yang, Y. Yoon, W.H. Yang, Y.G. Kim, and B.W. Lee, 2011. Relationship between grain filling duration and leaf senescence of temperate rice under high temperature, Field Crops Research, 122: 207-213. DOI |
4 | Baruth, M. and G. Genovese, 2008. The use of remote sensing within the MARS crop yield monitoring system of the European commission, The international archives of the photogrammetry, Remote Sensing and Spatial Information Science, XXXVII(B8): 935-939. |
5 | Basso, B., D. Cammarano, and E. Carfagna, 2012. Review of Crop Yield Forecasting Methods and Early Warning Systems. In: GS SAC -Improving methods for crops estimates, FAO Publication, Rome, UK. |
6 | Kim, J. W. Sang, H. Shin, H. Cho, and M. Seo, 2017. A Meteorological Analysis on High Rice Yield in 2015 in South Korea, Korean Journal of Agriculture and forest Meteorology, 19: 54-61 |
7 | Bounman, B. M.J. Kropff, T.P. Tung, M. Woperesis, H. ten Berge, and H.H. van Laar, 2001. Oryza2000: Modeling lowland rice, IRRI, Manila, Philippines. |
8 | Han, S., B. Lee, M. Park, J. Seung, H. Yang, and S. Shin, 2011. A study of building crop yield forecasting model considering meteorological elements, KREI Research report, KREI (in Korean with English abstract) |
9 | Lee, E.W., 1994. Rice production, pp. 89-91. Hiangmunsa, Seoul, Republic of Korea (In Korean). |
10 | Loague, K. and R.E. Green, 1991. Statistical and graphical methods for evaluating solute transports models: Overview and application, Journal of Contaminant Hydrology, 7:51-73. DOI |
11 | Nguyen, D., K. Lee, D. Kim, N. T. Anh, and B. Lee, 2014. Modeling and validation of hightemperature induced spikelets sterility in rice, Field Crop Research, 156: 293-302. DOI |
12 | Park, D., R. Cui, and B. Lee, 2002. Relationship of spikelet number with nitrogen content, biomass and nonstructural carbohydrate accumulation during reproductive stage of rice. Korean Journal of Crop Science, 47: 486-492 (in Korean with English abstract). |
13 | RDA, 2016. 2015 Annual report of Summer crop breeding program, RDA, Republic of Korea (In Korean). |
14 | Yoshida, S., 1981. Fundamentals of rice crop science. p 63. IRRI. Manila, Philippines. |