TY - GEN
T1 - An Image Analysis Method for Lettuce Leaf and Root Growth Analysis in Hydroponic Culture
AU - Okamoto, Takumi
AU - Sakane, Yasunori
AU - Koide, Tetsushi
AU - Ogawa, Atsushi
AU - Komine, Masashi
AU - Sone, Chiharu
AU - Kaneta, Yoshihiro
AU - Yaji, Yukio
AU - Toyofuku, Kyoko
AU - Kamata, Takahiro
AU - Kimura, Ken
AU - Ishikawa, Yoko
AU - Kasama, Toshihiro
AU - Bula, Wojciech Piptr
AU - Endo, Yoshishige
AU - Miyake, Ryo
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - We are going to develop an ultra-small nutrients analyzer, a compact 3D-monitor (shape, color, etc.), and an ultra-light environment sensor (light intensity, temperature, humidity, CO2, etc.), which can be installed near plants. Accordingly, plant growth estimation technologies based on micro-fluidic circuit model simulating plant vascular system are being developed. The model will be frequently corrected by using updated data given by those sensors. Furthermore, by making use of the estimation technologies, we try to find out suitable cultivation condition for producing plants having aimed characters. In this paper, in order to develop plant growth estimation technologies, we propose a method to analyze the growth of lettuce leaves and roots by image analysis based on visible and thermography thermal imagers captured by cameras in real time and non-destructive leaf and root growth in lettuce hydroponic culture.
AB - We are going to develop an ultra-small nutrients analyzer, a compact 3D-monitor (shape, color, etc.), and an ultra-light environment sensor (light intensity, temperature, humidity, CO2, etc.), which can be installed near plants. Accordingly, plant growth estimation technologies based on micro-fluidic circuit model simulating plant vascular system are being developed. The model will be frequently corrected by using updated data given by those sensors. Furthermore, by making use of the estimation technologies, we try to find out suitable cultivation condition for producing plants having aimed characters. In this paper, in order to develop plant growth estimation technologies, we propose a method to analyze the growth of lettuce leaves and roots by image analysis based on visible and thermography thermal imagers captured by cameras in real time and non-destructive leaf and root growth in lettuce hydroponic culture.
KW - hydroponic culture
KW - image analysis
KW - lettuce leaf and root growth
KW - non-destructive analysis
KW - plant growth estimation technologies
UR - https://www.scopus.com/pages/publications/85063229349
UR - https://www.scopus.com/pages/publications/85063229349#tab=citedBy
U2 - 10.1109/TENCON.2018.8650285
DO - 10.1109/TENCON.2018.8650285
M3 - Conference contribution
AN - SCOPUS:85063229349
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 467
EP - 470
BT - Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Region 10 Conference, TENCON 2018
Y2 - 28 October 2018 through 31 October 2018
ER -