Research theme for competitive and other funds (6):
2021 - 2028 Towards Sustainable Nitrogen Use Connecting Human Society and Nature
2020 - 2024 Development of breeding materials for reducing aluminum content in tea leaves by genome-wide association analysis
2021 - 2024 Modeling of nitrous oxide emission based on quantification of its production and consumption rate based on soil incubation under low soil oxygen concentration conditions
2020 - 2023 Soil management practices to prevent soil acidification and base cation loss in tea plantation
2019 - 2022 Quality evaluation of tea leaves using machine learning and hyperspectral reflectance
2014 - 2017 Modeling of nitrous oxide emissions from tea field soils
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Papers (39):
Yamazaki Ibuki, Yamashita Hiroto, Hirono Yuhei, Morita Akio, Ikka Takashi. Effect on the growth and quality of young tea plants due to neutralization of tea soil with slag. Japanese Journal of Soil Science and Plant Nutrition. 2023. 94. 5. 385-398
Rei Sonobe, Yuhei Hirono. Carotenoid Content Estimation in Tea Leaves Using Noisy Reflectance Data. Remote Sensing. 2023. 15. 17. 4303-4303
Rei Sonobe, Yuhei Hirono. Applying Variable Selection Methods and Preprocessing Techniques to Hyperspectral Reflectance Data to Estimate Tea Cultivar Chlorophyll Content. Remote Sensing. 2022
薗部 礼, 廣野 祐平, 関 晴之. マイクロ分光器ハイパースペクトルデータを用いた茶葉のクロロフィル含量非破壊評価-Non-destructive evaluation of chlorophyll content in tea leaves using hyperspectral reflectance from a compact spectrometer. 写真測量とリモートセンシング. 2022. 61. 1. 4-13
Long-term effects of reduction of nitrogen input to tea garden on the water quality of surrounding water systems : A case study in an intensive tea-growing area around the Makinohara Plateau, Shizuoka Prefecture from 1995 to 2018. 2021. 63. 4. 213-225