Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Masahiko Suguri"'
Publikováno v:
Japanese Journal of Forest Planning. 53:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dc6b41a7a42c2226f51b81e9757ed1e
https://doi.org/10.20659/jjfp.53.1_1
https://doi.org/10.20659/jjfp.53.1_1
Autor:
Hiroyuki Onoyama, Si-Bum Park, Ye Seong Kang, Masahiko Suguri, Chanseok Ryu, Shigenobu Kishino
Publikováno v:
Food Chemistry. 370:130987
Hyperspectral imagery was applied to estimating non-galloyl (EC, EGC) and galloyl (ECG, EGCG) types of catechins in new shoots of green tea. Partial least squares regression models were developed to consider the effects of commercial fertilizer (CF)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::643603080b1f8fc4ab834ef7a9aad258
https://doi.org/10.1016/j.foodchem.2021.130987
https://doi.org/10.1016/j.foodchem.2021.130987
Publikováno v:
Precision Agriculture. 19:721-734
Protein content, which represents rice taste quality, must be estimated in order to create a harvesting plan as well as next year’s basal dressing fertilizer application plan. Ground-based hyperspectral imaging with high resolution (1 × 1 mm per p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::543da48ff347b69fe46f635a328dc48d
https://doi.org/10.1007/s11119-017-9552-3
https://doi.org/10.1007/s11119-017-9552-3
Publikováno v:
Computers and Electronics in Agriculture. 174:105499
Convolutional neural networks (CNNs) are the current state of the art systems in image semantic segmentation (SS). However, because it requires a large computational cost, it is not suitable for running on embedded devices, such as on rice combine ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95aa514e0621ae8e89d4592a7ef7bc6e
https://doi.org/10.1016/j.compag.2020.105499
https://doi.org/10.1016/j.compag.2020.105499
Publikováno v:
2018 Detroit, Michigan July 29 - August 1, 2018.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e4de40a731efd1256d0cedc399406ff
https://doi.org/10.13031/aim.201800737
https://doi.org/10.13031/aim.201800737
Publikováno v:
Precision Agriculture. 16:558-570
Ground-based hyperspectral imaging was applied to rice plants at the panicle initiation stage to estimate nitrogen content. We developed a partial least squares regression (PLSR) model that incorporated both the reflectance and growing degree-days (G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e25a5e5e72d8e26d5f800fdf55fafae
https://doi.org/10.1007/s11119-015-9394-9
https://doi.org/10.1007/s11119-015-9394-9
Publikováno v:
Transactions of the Institute of Systems, Control and Information Engineers. 28:85-90
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9b7d87d827d116b920821a781ac5219
https://doi.org/10.5687/iscie.28.85
https://doi.org/10.5687/iscie.28.85
Autor:
Syota Harada, Yifan Zhang, Ryo Asada, Ryohei Masuda, Michihisa Iida, Masahiko Suguri, Ryosuke Sasaki
Publikováno v:
2017 Spokane, Washington July 16 - July 19, 2017.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fa649072af804bf644f880f021ceac8
https://doi.org/10.13031/aim.201700321
https://doi.org/10.13031/aim.201700321
Publikováno v:
Engineering in Agriculture, Environment and Food. 7:115-121
This study proposes a method for detection of uncut crop edges using multiple sensors to provide accurate data for the autonomous guidance systems of head-feeding combine harvesters widely used in the paddy fields of Japan for harvesting rice. The pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a7203e865b2eb14c765813bdade3e86
https://doi.org/10.1016/j.eaef.2014.02.004
https://doi.org/10.1016/j.eaef.2014.02.004
Publikováno v:
Engineering in Agriculture, Environment and Food. 7:109-114
In this study, a combine robot was equipped with an autonomous grain container searching function. In order to realize automated grain unloading, the combine robot has to search and identify the grain storage container in an outdoor environment. A pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dd498cf5432f6759fef46098b4f865a
https://doi.org/10.1016/j.eaef.2014.05.001
https://doi.org/10.1016/j.eaef.2014.05.001