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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SR 2022-01-25
10:25		 Online Online Classification of tomato flowers shape for pollination using CNN and proof experiments
Eisuke Fukuyama, Takefumi Hiraguri, Nobuhiko Itoh, Takuya Shindo, Hiroyuki Shimizu (NIT) SR2021-73		  [more] SR2021-73
pp.73-77
CQ, CBE
(Joint)		 2021-01-21
16:00		 Online Online [Poster Presentation] A study on classification of pollination flowers using bee type drones
Eisuke Fukuyama, Takuya shindo, Takehumi Hiraguri (NIT) CQ2020-79		  [more] CQ2020-79
pp.72-73
MIKA
(2nd)		 2019-10-03
11:15		 Hokkaido Hokkaido Univ. [Poster Presentation] A Study on Feature Quantities in Identification of Tomato Fruit and Flower using Machine Learning
Eisuke Fukuyama, Yuki Hoshino, Takuya Shindo, Takefumi Hiraguri (NIT) 		In modern agriculture, the technology in which machines carry out farm work instead of human has beendeveloped. However,... [more]
CQ
(2nd)		 2019-09-04
13:50		 Tokyo Inter-University Seminar House [Poster Presentation] A study of feature extraction in machine learning for image recognition of fruits and flowers
Eisuke Fukuyama, Yuki Hoshino, Gakuto Komazawa, Takuya Shindo, Takefumi Hiraguri (NIT) 		In modern agriculture, the technology in which machines carry out farm work instead of human has been developed. However... [more]
CQ
(2nd)		 2019-09-04
15:00		 Tokyo Inter-University Seminar House [Poster Presentation] Effects of different wavelengths of LED light on mini tomatoes growth
Gakuto Komazawa, Takuya Sindo, Eisuke Fukuyama, Yuki Hoshino, Takefumi Hiraguri (NIT) 		Hydroponic cultivation using artificial lighting (LED) is mainly used for leafy vegetables.
On the other hand, there ar... [more]
CS 2019-07-04
09:15		 Kagoshima Amami City Social Welfare Center A Study on Feature quantities for Identification of fruit and flower by machine learning
Eisuke Fukuyama, Yuki Hosino, Takuya Sindo, Takefumi Hiraguri (NIT) CS2019-25		 In modern smart agriculture, technology has been developed to achieve farm work on instead of human by mechanization. Ho... [more] CS2019-25
pp.53-54
 Results 1 - 6 of 6  /   
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