Generative AI in Enhancing Hydroponic Nutrient Solution Monitoring

Authors

  • Musawer Hakimi Computer Science Department, Samangan University, Samangan, Afganistan
  • I Wayan Aditya Suranata Information Technology Department, Universitas Pendidikan Nasional, Indonesia
  • Zakirullah Ezam Computer Science Faculty, Sayed Jamaluddin Afghani University, Kunar, Afghanistan
  • Abdul Wahid Samadzai Faculty of Computer Science, Kabul University, Afghanistan
  • Wahidullah Enayat Ondokuz Mayıs Üniversitesi, Samsun, Türkiye
  • Tamanna Quraishi University of the People, USA
  • Abdul Wajid Fazil Computer Science Faculty, Badakhshan University, Badakhshan, Afghanistan

DOI:

https://doi.org/10.38043/telsinas.v8i1.6242

Keywords:

Small-scale Hydroponics, Monitoring, Generative AI, Flutter Interface, Thingsboard, Open-source

Abstract

Generative AI for IoT Hydroponics Monitoring System for Smallholder Farmers in Developing Regions This is in an effort to support AI-based narrative feedback for real-time decision-making with reference to sensor data (TDS/EC, temperature) and plant context-the pertinent data are species and age. The system, therefore, consists of an ESP32 sensor device; a Flutter mobile application; and the cloud services being offered via Thingsboard and the Gemini API. A systematic approach was undertaken, including design, implementation, integration, and usability testing. The results show effective real-time data collection and secure communication, with accurate AI feedback validated by expert judgment. The results exhibited how AI and IoT could collude in aiding smart agriculture. Future work will concentrate on enhancing the accuracy of the model based on ground truth data and improving the accessibility of the platform.

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Published

2025-04-20

How to Cite

1.
Hakimi M, Suranata IWA, Ezam Z, Samadzai AW, Enayat W, Quraishi T, Fazil AW. Generative AI in Enhancing Hydroponic Nutrient Solution Monitoring. telsinas [Internet]. 2025Apr.20 [cited 2025Apr.21];8(1):94-103. Available from: https://journal.undiknas.ac.id/index.php/teknik/article/view/6242

Issue

Vol. 8 No. 1 (2025)

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Articles

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Copyright (c) 2025 Musawer Hakimi, I Wayan Aditya Suranata, Zakirullah Ezam, Abdul Wahid Samadzai, Wahidullah Enayat, Tamanna Quraishi, Abdul Wajid Fazil

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