TY - GEN
T1 - Sensing technologies for advanced smart agricultural systems
AU - Uchiyama, Hideaki
AU - Sakurai, Shunsuke
AU - Hashimoto, Yoshiki
AU - Hanasaki, Atsutoshi
AU - Arita, Daisaku
AU - Okayasu, Takashi
AU - Shimada, Atsushi
AU - Taniguchi, Rin Ichiro
N1 - Funding Information:
This work is supported by JSPS KAKENHI Grant Number JP15H01695 and JP17H01768.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/27
Y1 - 2018/2/27
N2 - We introduce our sensing technologies to acquire agricultural information, such as image-based plant phenotyping, harvest quantity data, and localization information using a camera in a greenhouse. Commercial systems exist that support agriculture, but many unresolved issues remain regarding optimization of farming sustainability and productivity. Therefore, we intend to apply state-of-the-art information and communication technology (ICT) to tackle these agricultural issues and to investigate their limitations for developing advanced smart agricultural systems.
AB - We introduce our sensing technologies to acquire agricultural information, such as image-based plant phenotyping, harvest quantity data, and localization information using a camera in a greenhouse. Commercial systems exist that support agriculture, but many unresolved issues remain regarding optimization of farming sustainability and productivity. Therefore, we intend to apply state-of-the-art information and communication technology (ICT) to tackle these agricultural issues and to investigate their limitations for developing advanced smart agricultural systems.
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U2 - 10.1109/ICSensT.2017.8304451
DO - 10.1109/ICSensT.2017.8304451
M3 - Conference contribution
AN - SCOPUS:85045642207
T3 - Proceedings of the International Conference on Sensing Technology, ICST
SP - 1
EP - 4
BT - 2017 11th International Conference on Sensing Technology, ICST 2017
PB - IEEE Computer Society
T2 - 11th International Conference on Sensing Technology, ICST 2017
Y2 - 4 December 2017 through 6 December 2017
ER -