Plant Leaf Area Estimation via Image Segmentation

Sang Ho Lee; Myung Min Oh; Jong Ok Kim

doi:10.1109/ITC-CSCC55581.2022.9894907

Plant Leaf Area Estimation via Image Segmentation

Sang Ho Lee, Myung Min Oh, Jong Ok Kim

School of Electrical Engineering

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

2 Citations (Scopus)

Abstract

In this paper, we propose a method to estimate plant leaf area using image segmentation. In the field of horticulture, destructive analysis is mainly made to measure leaf area, which is required for plant growth measurement. But it has the disadvantage that the plant cannot be used again after analysis. the proposed image based leaf area measurement is non-destructive, and it does not take much time compared with destructive analysis. Leaves in a plant image are first segmented, and then, their correlation to actual leaf area is analyzed. Experimental results show that we can easily predict actual leaf area from plant images.

Original language	English
Title of host publication	ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	996-998
Number of pages	3
ISBN (Electronic)	9781665485593
DOIs	https://doi.org/10.1109/ITC-CSCC55581.2022.9894907
Publication status	Published - 2022
Event	37th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2022 - Phuket, Thailand Duration: 2022 Jul 5 → 2022 Jul 8

Publication series

Name	ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications

Conference

Conference	37th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2022
Country/Territory	Thailand
City	Phuket
Period	22/7/5 → 22/7/8

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work is supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A4A4079705).

Publisher Copyright:
© 2022 IEEE.

Keywords

Leaf area
Linear regression
Plant image
Segmentation

ASJC Scopus subject areas

Information Systems
Electrical and Electronic Engineering
Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Hardware and Architecture

Access to Document

10.1109/ITC-CSCC55581.2022.9894907

Cite this

Lee, S. H., Oh, M. M., & Kim, J. O. (2022). Plant Leaf Area Estimation via Image Segmentation. In ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications (pp. 996-998). (ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITC-CSCC55581.2022.9894907

Plant Leaf Area Estimation via Image Segmentation. / Lee, Sang Ho; Oh, Myung Min; Kim, Jong Ok.
ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications. Institute of Electrical and Electronics Engineers Inc., 2022. p. 996-998 (ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications).

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

Lee, SH, Oh, MM & Kim, JO 2022, Plant Leaf Area Estimation via Image Segmentation. in ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications. ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications, Institute of Electrical and Electronics Engineers Inc., pp. 996-998, 37th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2022, Phuket, Thailand, 22/7/5. https://doi.org/10.1109/ITC-CSCC55581.2022.9894907

Lee SH, Oh MM, Kim JO. Plant Leaf Area Estimation via Image Segmentation. In ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications. Institute of Electrical and Electronics Engineers Inc. 2022. p. 996-998. (ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications). doi: 10.1109/ITC-CSCC55581.2022.9894907

Lee, Sang Ho ; Oh, Myung Min ; Kim, Jong Ok. / Plant Leaf Area Estimation via Image Segmentation. ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 996-998 (ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications).

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abstract = "In this paper, we propose a method to estimate plant leaf area using image segmentation. In the field of horticulture, destructive analysis is mainly made to measure leaf area, which is required for plant growth measurement. But it has the disadvantage that the plant cannot be used again after analysis. the proposed image based leaf area measurement is non-destructive, and it does not take much time compared with destructive analysis. Leaves in a plant image are first segmented, and then, their correlation to actual leaf area is analyzed. Experimental results show that we can easily predict actual leaf area from plant images.",

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N1 - Funding Information: ACKNOWLEDGMENT This work is supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A4A4079705). Publisher Copyright: © 2022 IEEE.

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N2 - In this paper, we propose a method to estimate plant leaf area using image segmentation. In the field of horticulture, destructive analysis is mainly made to measure leaf area, which is required for plant growth measurement. But it has the disadvantage that the plant cannot be used again after analysis. the proposed image based leaf area measurement is non-destructive, and it does not take much time compared with destructive analysis. Leaves in a plant image are first segmented, and then, their correlation to actual leaf area is analyzed. Experimental results show that we can easily predict actual leaf area from plant images.

AB - In this paper, we propose a method to estimate plant leaf area using image segmentation. In the field of horticulture, destructive analysis is mainly made to measure leaf area, which is required for plant growth measurement. But it has the disadvantage that the plant cannot be used again after analysis. the proposed image based leaf area measurement is non-destructive, and it does not take much time compared with destructive analysis. Leaves in a plant image are first segmented, and then, their correlation to actual leaf area is analyzed. Experimental results show that we can easily predict actual leaf area from plant images.

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Plant Leaf Area Estimation via Image Segmentation

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this