An Image Analysis Method for Lettuce Leaf and Root Growth Analysis in Hydroponic Culture

Takumi Okamoto; Yasunori Sakane; Tetsushi Koide; Atsushi Ogawa; Masashi Komine; Chiharu Sone; Yoshihiro Kaneta; Yukio Yaji; Kyoko Toyofuku; Takahiro Kamata; Ken Kimura; Yoko Ishikawa; Toshihiro Kasama; Wojciech Piptr Bula; Yoshishige Endo; Ryo Miyake

doi:10.1109/TENCON.2018.8650285

An Image Analysis Method for Lettuce Leaf and Root Growth Analysis in Hydroponic Culture

Takumi Okamoto
, Yasunori Sakane
, Tetsushi Koide
, Atsushi Ogawa
, Masashi Komine
, Chiharu Sone
, Yoshihiro Kaneta
, Yukio Yaji
, Kyoko Toyofuku
, Takahiro Kamata
, Ken Kimura
, Yoko Ishikawa
, Toshihiro Kasama
, Wojciech Piptr Bula
, Yoshishige Endo
, Ryo Miyake

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	467-470
Number of pages	4
ISBN (Electronic)	9781538654576
DOIs	https://doi.org/10.1109/TENCON.2018.8650285
Publication status	Published - 02-07-2018
Externally published	Yes
Event	2018 IEEE Region 10 Conference, TENCON 2018 - Jeju, Korea, Republic of Duration: 28-10-2018 → 31-10-2018

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	2018-October
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2018 IEEE Region 10 Conference, TENCON 2018
Country/Territory	Korea, Republic of
City	Jeju
Period	28-10-18 → 31-10-18

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TENCON.2018.8650285

Cite this

Okamoto, T., Sakane, Y., Koide, T., Ogawa, A., Komine, M., Sone, C., Kaneta, Y., Yaji, Y., Toyofuku, K., Kamata, T., Kimura, K., Ishikawa, Y., Kasama, T., Bula, W. P., Endo, Y., & Miyake, R. (2018). An Image Analysis Method for Lettuce Leaf and Root Growth Analysis in Hydroponic Culture. In Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference (pp. 467-470). Article 8650285 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2018-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2018.8650285

@inproceedings{2fea2f71ca5d4dc08f0cf49a352d465f,

title = "An Image Analysis Method for Lettuce Leaf and Root Growth Analysis in Hydroponic Culture",

abstract = "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.",

keywords = "hydroponic culture, image analysis, lettuce leaf and root growth, non-destructive analysis, plant growth estimation technologies",

author = "Takumi Okamoto and Yasunori Sakane and Tetsushi Koide and Atsushi Ogawa and Masashi Komine and Chiharu Sone and Yoshihiro Kaneta and Yukio Yaji and Kyoko Toyofuku and Takahiro Kamata and Ken Kimura and Yoko Ishikawa and Toshihiro Kasama and Bula, \{Wojciech Piptr\} and Yoshishige Endo and Ryo Miyake",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Region 10 Conference, TENCON 2018 ; Conference date: 28-10-2018 Through 31-10-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/TENCON.2018.8650285",

language = "English",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "467--470",

booktitle = "Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference",

address = "United States",

}

Okamoto, T, Sakane, Y, Koide, T, Ogawa, A, Komine, M, Sone, C, Kaneta, Y, Yaji, Y, Toyofuku, K, Kamata, T, Kimura, K, Ishikawa, Y, Kasama, T, Bula, WP, Endo, Y & Miyake, R 2018, An Image Analysis Method for Lettuce Leaf and Root Growth Analysis in Hydroponic Culture. in Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference., 8650285, IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2018-October, Institute of Electrical and Electronics Engineers Inc., pp. 467-470, 2018 IEEE Region 10 Conference, TENCON 2018, Jeju, Korea, Republic of, 28-10-18. https://doi.org/10.1109/TENCON.2018.8650285

An Image Analysis Method for Lettuce Leaf and Root Growth Analysis in Hydroponic Culture. / Okamoto, Takumi; Sakane, Yasunori; Koide, Tetsushi et al.
Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc., 2018. p. 467-470 8650285 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

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 -

Okamoto T, Sakane Y, Koide T, Ogawa A, Komine M, Sone C et al. An Image Analysis Method for Lettuce Leaf and Root Growth Analysis in Hydroponic Culture. In Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc. 2018. p. 467-470. 8650285. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON.2018.8650285

An Image Analysis Method for Lettuce Leaf and Root Growth Analysis in Hydroponic Culture

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