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Estimating Yield Damage in Whole Crop Maize under RCP 8.5 Abnormal Climate Scenarios Using a Machine Learning Model View count 399
Journal of The Korean Society of Grassland and Forage Science :: Vol.45 No.4 pp.244-251
DOI:https://doi.org/10.5333/KGFS.2025.45.4.244
Open abstract
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Calculated Damage of Italian Ryegrass in Abnormal Climate Based World Meteorological Organization Approach Using Machine Learning View count 1315
Journal of The Korean Society of Grassland and Forage Science :: Vol.43 No.3 pp.190-198
DOI:https://doi.org/10.5333/KGFS.2023.43.3.190
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Calculation of Damage to Whole Crop Corn Yield by Abnormal Climate Using Machine Learning View count 799
Journal of The Korean Society of Grassland and Forage Science :: Vol.43 No.1 pp.11-21
DOI:https://doi.org/10.5333/KGFS.2023.43.1.11
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Damage of Whole Crop Maize in Abnormal Climate Using Machine Learning View count 1118
Journal of The Korean Society of Grassland and Forage Science :: Vol.42 No.2 pp.127-136
DOI:https://doi.org/10.5333/KGFS.2022.42.2.127
Open abstract
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Calculation of Dry Matter Yield Damage of Whole Crop Maize in Accordance with Abnormal Climate Using Machine Learning Model View count 1040
Journal of The Korean Society of Grassland and Forage Science :: Vol.41 No.4 pp.287-294
DOI:https://doi.org/10.5333/KGFS.2021.41.4.287
Open abstract





