PLANTery: an IoT-based automated plant watering system and pest detection using Convolutional Neural Network (CNN)
This study addresses busy individual’s challenges in maintaining plants, specifically watering and pest control. PLANTery automates plant care by using IoT sensors (for soil moisture, temperature, and humidity) to activate irrigation as needed and a Convolutional Neural Network (CNN) for real-time pest detection, alerting users, and recommending anti-pest measures. The system received an excellent rating from respondents, with an overall weighted mean of 4.74, indicating high functionality, efficiency, reliability, and usability. This result reflects intense user satisfaction and demonstrates that the system effectively achieves its objectives, providing robust solutions for plant care.
Authors
- Criselle J. Centeno (ORCID: https://orcid.org/0000-0003-3705-7249)
- Ariel Antwaun Rolando C. Sison
- Diony S. Abando
- Sophia A. Maramara
- Jayson G. Pisos
- Francis Jericho F. Ras
Institutions
- Mapúa University (PH)
- University of the City of Manila (PH)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1049/icp.2025.0279
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00