RICEGUARD: IoT Noise-Enabled Scarecrow with Image Processing through Machine Learning and SMS Notification for Rice Crop Protection Enhancement

  • Angelo Auxtero College of Computer Studies, Northern Bukidnon State College, Philippines
  • Welcon Bendijo College of Computer Studies, Northern Bukidnon State College, Philippines
  • Jubiel G Capio College of Computer Studies, Northern Bukidnon State College, Philippines
  • April Rose Jacamos College of Computer Studies, Northern Bukidnon State College, Philippines
  • Phoebe Ruth Alithea Bacotot Sudaria College of Computer Studies, Northern Bukidnon State College, Philippines
  • Shiela Mae M. Orozco College of Computer Studies, Northern Bukidnon State College, Philippines
  • Kenn Migan Vincent Gumonan College of Computer Studies, Cebu Institute of Technology University, Philippines http://orcid.org/0000-0002-4790-6729

Abstract

Purpose – This study intends to build a smart scarecrow that protects the rice yield especially when the grain is almost ripe. This will offer a dependable and effective method for safeguarding rice crops through the Internet of Things and machine learning image processing.

Method – The agile methodology was utilized in this study since it is suitable for the device's iterative development process.

Results – The mean result of the system evaluation is rated at 4.45, with an excellent interpretation from the user using the ISO ISO/IEC 25010:2011 tool.

Conclusion – The researchers were able to develop smart water irrigation for rice farming using IoT and micro-controller devices with solar panel support and the respondents also agreed that the Smart water irrigation for rice farming using IoT and micro-controller devices with solar panel support is practical and valuable.

Recommendations – Future researchers that will focus on the relevant study may consider integrating an autofocus camera into the system to enhance the image resolution, making it significantly more effective in threat detection within the covered area. It will also contribute to stability and enhance tracking capabilities, especially for moving subjects.

Research Implications - The research can help rice farmers protect their crops from bird attacks, especially when the crop is almost ready for harvest. This will enhance the farmers' production, leading to a higher income to support their families.

Author Biographies

Angelo Auxtero, College of Computer Studies, Northern Bukidnon State College, Philippines

Angelo M. Auxtero is a Bachelor of Science in Information Technology graduate from Northern Bukidnon State College, specializing in programming, hardware, the Internet of Things, and web development.

Welcon Bendijo, College of Computer Studies, Northern Bukidnon State College, Philippines

Welcon A. Bendijo is a Bachelor of Science in Information Technology graduate from Northern Bukidnon State College, specializing in programming, hardware, and the Internet of Things.

Jubiel G Capio, College of Computer Studies, Northern Bukidnon State College, Philippines

Jubiel G. Capio is a Bachelor of Science in Information Technology graduate from Northern Bukidnon State College, specializing in human-computer interaction, multimedia, hardware, and the Internet of Things.

April Rose Jacamos, College of Computer Studies, Northern Bukidnon State College, Philippines

April Rose E. Jacamos is a Bachelor of Science in Information Technology graduate at Northern Bukidnon State College, specializing in Human-Computer Interaction, Multimedia, and the Internet of Things.

Phoebe Ruth Alithea Bacotot Sudaria, College of Computer Studies, Northern Bukidnon State College, Philippines

Phoebe Ruth Alithea B. Sudaria is an instructor at Northern Bukidnon State College, specializing in Website Development, Management Information Systems, Programming, the Internet of Things, and hardware implementations.

Shiela Mae M. Orozco, College of Computer Studies, Northern Bukidnon State College, Philippines

Shiela Mae M. Orozco is the program head for the Bachelor of Science in Information Technology at Northern Bukidnon State College, specializing in programming, game development, Graphics design, Web development, and project management.

Kenn Migan Vincent Gumonan, College of Computer Studies, Cebu Institute of Technology University, Philippines

Kenn Migan Vincent C. Gumonan is an instructor for the Bachelor of Science in Information Technology program at Cebu Institute of Technology University specializing in research, object-oriented programming, game development, the Internet of Things, and project management.

Published
2025-05-24
How to Cite
AUXTERO, Angelo et al. RICEGUARD: IoT Noise-Enabled Scarecrow with Image Processing through Machine Learning and SMS Notification for Rice Crop Protection Enhancement. International Journal of Computing Sciences Research, [S.l.], v. 9, p. 3739-3758, may 2025. ISSN 2546-115X. Available at: <//stepacademic.net/ijcsr/article/view/644>. Date accessed: 07 oct. 2025.
Citation Formats
Issue
Vol 9 (2025): Volume 9
Section
Articles
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