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The Science of the Total Environment|August 31, 2021
Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North KoreaSeungtaek Jeong, Jonghan Ko, Jong-Min Yeom
Global Change Biology|March 19, 2013
Impacts of climate change on paddy rice yield in a temperate climateHan-Yong Kim, Jonghan Ko, Suchel Kang, et al.
Frontiers in Plant Science|February 27, 2024
Combining machine learning and remote sensing-integrated crop modeling for rice and soybean crop simulationJonghan Ko, Taehwan Shin, Jiwoo Kang, et al.
Scientific Reports|November 2, 2018
Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice modelJong-Min Yeom, Seungtaek Jeong, Gwanyong Jeong, et al.
Frontiers in Plant Science|April 12, 2021
Simulation of Wheat Productivity Using a Model Integrated With Proximal and Remotely Controlled Aerial Sensing InformationTaehwan Shin, Jonghan Ko, Seungtaek Jeong, et al.
Journal of Plant Physiology|March 4, 2016
Soil water availability and capacity of nitrogen accumulation influence variations of intrinsic water use efficiency in riceWei Xue, Bhone Nay-Htoon, Steve Lindner, et al.
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