Smartcropplanting: IOT-Based Mobile Application for Hydroponic System

Sung Jun Kyu, Chit Su Mon, Kasthuri Subaramaniam

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 languageEnglish
Title of host publicationProceedings of The 2023 International Conference on Artificial Life and Robotics
EditorsYingmin Jia, Takao Ito, Ju-Jang Lee
PublisherALife Robotics Corporation Ltd
Number of pages5
ISBN (Print)9784990835088
Publication statusPublished - 9 Feb 2023
Event28th International Conference on Artificial Life and Robotics 2023 - Virtual, Online
Duration: 9 Feb 202312 Feb 2023

Publication series

NameProceedings of the International Conference on Artificial Life and Robotics
ISSN (Print)2188-7829


Conference28th International Conference on Artificial Life and Robotics 2023
Abbreviated titleICAROB 2023
CityVirtual, Online


  • 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


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