Smartcropplanting: IOT-Based Mobile Application for Hydroponic System

Sung Jun Kyu; Chit Su Mon; Kasthuri Subaramaniam

doi:10.5954/icarob.2023.gs2-2

Smartcropplanting: IOT-Based Mobile Application for Hydroponic System

Sung Jun Kyu
, Chit Su Mon
, Kasthuri Subaramaniam

School of Mathematical & Computer Sciences

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

Abstract

Hydroponic crop production is challenging for farmers and gardeners; they must continuously monitor and control the crop environment to achieve or maintain the best plant growth. Climate changes and disease/pests might occur anytime at anywhere which will consequence in crop-damaging. Studies show that slight rises in temperature from 1°C to 4°C can resulting in a decrease in the production of 10 to 41%. Another study shows that depending on the severity of leaf spot disease it will damage the crop by 10 to 50%. Therefore, this study proposed to improve the current hydroponic system by implementing the Internet of Things and Image Processing technique to optimize and reduce the infeasible tasks with mobile applications. This study has conducted a mixed-mode method with home gardeners, farmers, and related experts. The results show that 80% of respondents agree that SmartCropPlanting will improve the productivity and efficiency of crop planting with IoT and Image Processing techniques.

Original language	English
Title of host publication	Proceedings of The 2023 International Conference on Artificial Life and Robotics
Editors	Yingmin Jia, Takao Ito, Ju-Jang Lee
Publisher	ALife Robotics Corporation Ltd
Pages	858-862
Number of pages	5
ISBN (Print)	9784990835088
DOIs	https://doi.org/10.5954/icarob.2023.gs2-2
Publication status	Published - 9 Feb 2023
Event	28th International Conference on Artificial Life and Robotics 2023 - Virtual, Online Duration: 9 Feb 2023 → 12 Feb 2023

Publication series

Name	Proceedings of the International Conference on Artificial Life and Robotics
Volume	28
ISSN (Print)	2188-7829

Conference

Conference	28th International Conference on Artificial Life and Robotics 2023
Abbreviated title	ICAROB 2023
City	Virtual, Online
Period	9/02/23 → 12/02/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

Agriculture
Automation
Hydroponic
Image Processing
IoT
Machine learning

ASJC Scopus subject areas

Artificial Intelligence
Computer Vision and Pattern Recognition
Hardware and Architecture
Information Systems
Control and Systems Engineering
Electrical and Electronic Engineering
Modelling and Simulation

Access to Document

10.5954/icarob.2023.gs2-2Licence: CC BY-NC-ND

Cite this

Kyu, S. J., Mon, C. S., & Subaramaniam, K. (2023). Smartcropplanting: IOT-Based Mobile Application for Hydroponic System. In Y. Jia, T. Ito, & J.-J. Lee (Eds.), Proceedings of The 2023 International Conference on Artificial Life and Robotics (pp. 858-862). (Proceedings of the International Conference on Artificial Life and Robotics; Vol. 28). ALife Robotics Corporation Ltd. https://doi.org/10.5954/icarob.2023.gs2-2

Kyu, Sung Jun ; Mon, Chit Su ; Subaramaniam, Kasthuri. / Smartcropplanting : IOT-Based Mobile Application for Hydroponic System. Proceedings of The 2023 International Conference on Artificial Life and Robotics. editor / Yingmin Jia ; Takao Ito ; Ju-Jang Lee. ALife Robotics Corporation Ltd, 2023. pp. 858-862 (Proceedings of the International Conference on Artificial Life and Robotics).

@inproceedings{3065a0b3e4994e74ae5d523e648b9634,

title = "Smartcropplanting: IOT-Based Mobile Application for Hydroponic System",

abstract = "Hydroponic crop production is challenging for farmers and gardeners; they must continuously monitor and control the crop environment to achieve or maintain the best plant growth. Climate changes and disease/pests might occur anytime at anywhere which will consequence in crop-damaging. Studies show that slight rises in temperature from 1°C to 4°C can resulting in a decrease in the production of 10 to 41\%. Another study shows that depending on the severity of leaf spot disease it will damage the crop by 10 to 50\%. Therefore, this study proposed to improve the current hydroponic system by implementing the Internet of Things and Image Processing technique to optimize and reduce the infeasible tasks with mobile applications. This study has conducted a mixed-mode method with home gardeners, farmers, and related experts. The results show that 80\% of respondents agree that SmartCropPlanting will improve the productivity and efficiency of crop planting with IoT and Image Processing techniques.",

keywords = "Agriculture, Automation, Hydroponic, Image Processing, IoT, Machine learning",

author = "Kyu, \{Sung Jun\} and Mon, \{Chit Su\} and Kasthuri Subaramaniam",

note = "Publisher Copyright: {\textcopyright} The 2023 International Conference on Artificial Life and Robotics (ICAROB2023), Feb. 9 to 12, on line, Oita, Japan.; 28th International Conference on Artificial Life and Robotics 2023, ICAROB 2023 ; Conference date: 09-02-2023 Through 12-02-2023",

year = "2023",

month = feb,

day = "9",

doi = "10.5954/icarob.2023.gs2-2",

language = "English",

isbn = "9784990835088",

series = "Proceedings of the International Conference on Artificial Life and Robotics",

publisher = "ALife Robotics Corporation Ltd",

pages = "858--862",

editor = "Yingmin Jia and Takao Ito and Ju-Jang Lee",

booktitle = "Proceedings of The 2023 International Conference on Artificial Life and Robotics",

}

Kyu, SJ, Mon, CS & Subaramaniam, K 2023, Smartcropplanting: IOT-Based Mobile Application for Hydroponic System. in Y Jia, T Ito & J-J Lee (eds), Proceedings of The 2023 International Conference on Artificial Life and Robotics. Proceedings of the International Conference on Artificial Life and Robotics, vol. 28, ALife Robotics Corporation Ltd, pp. 858-862, 28th International Conference on Artificial Life and Robotics 2023, Virtual, Online, 9/02/23. https://doi.org/10.5954/icarob.2023.gs2-2

Smartcropplanting: IOT-Based Mobile Application for Hydroponic System. / Kyu, Sung Jun; Mon, Chit Su; Subaramaniam, Kasthuri.
Proceedings of The 2023 International Conference on Artificial Life and Robotics. ed. / Yingmin Jia; Takao Ito; Ju-Jang Lee. ALife Robotics Corporation Ltd, 2023. p. 858-862 (Proceedings of the International Conference on Artificial Life and Robotics; Vol. 28).

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

TY - GEN

T1 - Smartcropplanting

T2 - 28th International Conference on Artificial Life and Robotics 2023

AU - Kyu, Sung Jun

AU - Mon, Chit Su

AU - Subaramaniam, Kasthuri

N1 - Publisher Copyright: © The 2023 International Conference on Artificial Life and Robotics (ICAROB2023), Feb. 9 to 12, on line, Oita, Japan.

PY - 2023/2/9

Y1 - 2023/2/9

N2 - Hydroponic crop production is challenging for farmers and gardeners; they must continuously monitor and control the crop environment to achieve or maintain the best plant growth. Climate changes and disease/pests might occur anytime at anywhere which will consequence in crop-damaging. Studies show that slight rises in temperature from 1°C to 4°C can resulting in a decrease in the production of 10 to 41%. Another study shows that depending on the severity of leaf spot disease it will damage the crop by 10 to 50%. Therefore, this study proposed to improve the current hydroponic system by implementing the Internet of Things and Image Processing technique to optimize and reduce the infeasible tasks with mobile applications. This study has conducted a mixed-mode method with home gardeners, farmers, and related experts. The results show that 80% of respondents agree that SmartCropPlanting will improve the productivity and efficiency of crop planting with IoT and Image Processing techniques.

AB - Hydroponic crop production is challenging for farmers and gardeners; they must continuously monitor and control the crop environment to achieve or maintain the best plant growth. Climate changes and disease/pests might occur anytime at anywhere which will consequence in crop-damaging. Studies show that slight rises in temperature from 1°C to 4°C can resulting in a decrease in the production of 10 to 41%. Another study shows that depending on the severity of leaf spot disease it will damage the crop by 10 to 50%. Therefore, this study proposed to improve the current hydroponic system by implementing the Internet of Things and Image Processing technique to optimize and reduce the infeasible tasks with mobile applications. This study has conducted a mixed-mode method with home gardeners, farmers, and related experts. The results show that 80% of respondents agree that SmartCropPlanting will improve the productivity and efficiency of crop planting with IoT and Image Processing techniques.

KW - Agriculture

KW - Automation

KW - Hydroponic

KW - Image Processing

KW - IoT

KW - Machine learning

UR - https://www.scopus.com/pages/publications/85149468588

U2 - 10.5954/icarob.2023.gs2-2

DO - 10.5954/icarob.2023.gs2-2

M3 - Conference contribution

SN - 9784990835088

T3 - Proceedings of the International Conference on Artificial Life and Robotics

SP - 858

EP - 862

BT - Proceedings of The 2023 International Conference on Artificial Life and Robotics

A2 - Jia, Yingmin

A2 - Ito, Takao

A2 - Lee, Ju-Jang

PB - ALife Robotics Corporation Ltd

Y2 - 9 February 2023 through 12 February 2023

ER -

Kyu SJ, Mon CS, Subaramaniam K. Smartcropplanting: IOT-Based Mobile Application for Hydroponic System. In Jia Y, Ito T, Lee JJ, editors, Proceedings of The 2023 International Conference on Artificial Life and Robotics. ALife Robotics Corporation Ltd. 2023. p. 858-862. (Proceedings of the International Conference on Artificial Life and Robotics). doi: 10.5954/icarob.2023.gs2-2

Smartcropplanting: IOT-Based Mobile Application for Hydroponic System

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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