@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",
}
