VEGGIECARE: IOT-BASED VEGETABLE CARE MONITORING AND AUTOMATED WATERING SYSTEM WITH MOBILE APP INTEGRATION
Description
The Internet of Things has caused a huge revolution in industries by collecting data in real-time, performing
automation, and connecting physical things to digital systems. In agriculture this can help manage the watering
for vegetables and remote monitoring through application.
The study presents VeggieCare, an IoT-Based Vegetable Care Monitoring and Automated Watering System with
Mobile App Integration that aims to enhance vegetable growth through the automation of monitoring and
watering. The system uses an ESP32 microcontroller interfaced with soil moisture, temperature, humidity, and
light sensors. Data is transmitted to a mobile application that is using a Firebase realtime database so the user can
monitor vegetable conditions, get real time updates, and automatically watered the plant using a waterpump.
Predefined threshold values for different vegetable species, in conjunction with an inbuilt dictionary on care of
vegetables, allowing the users to choose what vegetable they will care.
When soil moisture becomes dry or rather too dry, the system automatically activates the watering system using
the water pump. With a combination of real-time monitoring and automation, VeggieCare presents a costeffective, sustainable, and user-friendly solution to keep the vegetables healthy while minimizing the chances of
overwatering or under watering.
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Additional details
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References
- Alam, M., S. Rukhsar, and A. Akram. 2021. "Plant Monitoring System." InternationalJournal of Engineering Research & Technology (IJERT) 10, no. 9: 1–3. https://www.ijert.org/research/plantmonitoring-system-IJERTV10IS090003.pdf.
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- Mohabuth, A. Q., & Nem, D. (2023). An IoT-Based Model for Monitoring Plant Growth in Greenhouses. Journal of Information Systems and Informatics, 5(2), 536-549. https://doi.org/10.51519/journalisi.v5i2.489Ramirez, J. E. G., Valerio, M. K. A., Layug, J. R., Santiago Jr, C. S., Ulanday, M. L. P., & Alabanza, J. E. (2025). Application of expert systems with artificial intelligence in the medical field: A literature review. ASEAN Journal of Scientific and Technological Reports, 28(2), e255684. https://doi.org/10.55164/ajstr.v28i2.255684