Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Kosuke NOBORIO"'
Autor:
Siti Noor Fitriah Azizan, Shuichiro Murakami, Iain McTaggart, Nurtasbiyah Yusof, Shazwana Sha’arani, Hirofumi Hara, Kosuke Noborio
Publikováno v:
Frontiers in Forests and Global Change, Vol 7 (2024)
The conversion of tropical peat swamp forests to oil palm plantations has become a focal point in relation to global change. However, it is difficult to understand the ecological consequences of this conversion because little is known about how the m
Externí odkaz:
https://doaj.org/article/ffa355d94d77437c90fb1cc5c1e3a7aa
Publikováno v:
Soil Systems, Vol 7, Iss 4, p 89 (2023)
Greenhouse gas (GHG) emissions from paddy fields depend on water management practices and rice varieties. Lysimeter experiments were conducted to determine the effect of rice varieties (lowland; Koshihikari (KH) and upland; Dourado Precoce (DP)) on G
Externí odkaz:
https://doaj.org/article/56b8ea4d410245d792d50f6d596fe961
Publikováno v:
Carbon Management, Vol 9, Iss 4, Pp 415-423 (2018)
The demand for renewable energy resources, such as Miscanthus spp., has increased significantly in temperate regions. Miscanthus spp. has the potential to mitigate GHG emissions by replacing fossil fuels and sequestering carbon in soil. However, the
Externí odkaz:
https://doaj.org/article/a0fd1668f40540548b152b115602b419
Autor:
Nongpat Chaichana, Sonoko Dorothea Bellingrath-Kimura, Shujiro Komiya, Yoshiharu Fujii, Kosuke Noborio, Ottfried Dietrich, Tiwa Pakoktom
Publikováno v:
Atmosphere, Vol 9, Iss 9, p 356 (2018)
Greenhouse gas flux monitoring in ecosystems is mostly conducted by closed chamber and eddy covariance techniques. To determine the relevance of the two methods in rice paddy fields at different growing stages, closed chamber (CC) and eddy covariance
Externí odkaz:
https://doaj.org/article/f0272d70218944f2ae0fb86ad5ff7a09
Autor:
Fitriah Azizan, Siti Noor, Shuichiro Murakami, McTaggart, Iain, Yusof, Nurtasbiyah, Sha'arani, Shazwana, Hirofumi Hara, Kosuke Noborio
Publikováno v:
Frontiers in Forests & Global Change; 2024, p1-15, 15p
Publikováno v:
Journal of Agricultural Meteorology; 2023, Vol. 79 Issue 4, p142-149, 8p
Publikováno v:
Machine Learning and Artificial Intelligence ISBN: 9781643683560
Frost causes damage to crops. Predicting the frost occurrence in advance is highly valuable for practitioners taking possible frost-prevention measures. In our previous study, we have applied machine learning to forecast frost occurrence using two me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e877b41cf15421f917d64af9bd4b9ff
https://doi.org/10.3233/faia220433
https://doi.org/10.3233/faia220433
Publikováno v:
Biomedical and Other Applications of Soft Computing ISBN: 9783031085796
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eca116c449ada7ae73c3353c9706f6fe
https://doi.org/10.1007/978-3-031-08580-2_24
https://doi.org/10.1007/978-3-031-08580-2_24
Autor:
Jun, Inoue, Kazutoshi, Sato, Atsushi, Yoshida, Yutaka, Tobo, Yoshihiro, Tomikawa, Yuji, Yoshida, Fumiyoshi, Kondo, Yasushi, Uji, Shingo, Shimizu, Kosuke, Noborio, Takuji, Waseda
The 13th Symposium on Polar Science/Special session [S] Towards the next six-year Japanese Antarctic Research Project (phase X), Tue. 15 Nov.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::66c23e9624ec3fb1837e594cf6b40f2b
http://id.nii.ac.jp/1291/00016873/
http://id.nii.ac.jp/1291/00016873/
Autor:
Mitsuhiro Inoue, Hirotaka Saito, Haruyuki Fujimaki, Kosuke Noborio, Koji Inosako, Jiri Šimůnek
Publikováno v:
Geoderma. 435:116511
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b038935ce46d97be6735433ad45e2ce
https://doi.org/10.1016/j.geoderma.2023.116511
https://doi.org/10.1016/j.geoderma.2023.116511