Plant Growth Monitoring System for Scallion

Authors

  • Hangga Aditya Nugraha State Polythechnic of Samarinda
  • Abdullah Hanif State Polythechnic of Samarinda
  • Wahyuni Eka Sari State Polythechnic of Samarinda

DOI:

https://doi.org/10.59934/jaiea.v6i1.2643

Keywords:

Automation, ESP32, Adaptive Watering, Growlight, Green Onion, Embedded System

Abstract

This study aims to address inconsistencies in urban farming plant care by designing a standalone automation system for green onions using the ESP32 microcontroller. The system operates without an internet connection, implementing a hybrid watering logic adaptive to plant age: once daily during the initial phase (days 1-10) and automatically increasing to twice daily in the advanced phase (days >10), alongside an emergency feature triggered when soil is detected as extremely dry (ADC > 2600). Additionally, a smart lighting system using growlights activates automatically during dark daytime conditions. Test results demonstrate that the system executes all scenarios accurately and stably, providing an efficient care solution with minimal human intervention.

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References

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Widodo, S. et al. (2024) “MEMBANGUN PROTOTYPE SISTEM PENYIRAMAN DAN PEMUPUKAN PADA TANANAM JAGUNG BERBASIS IOT DI DESA KADINDI,” Journal of Computer Science and Information Technology, 2(1), pp. 51–60. Available at: https://doi.org/10.70248/jcsit.v2i1.1287.

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Published

2026-10-15

How to Cite

Hangga Aditya Nugraha, Abdullah Hanif, & Wahyuni Eka Sari. (2026). Plant Growth Monitoring System for Scallion. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 6(1), 83–96. https://doi.org/10.59934/jaiea.v6i1.2643