Generative AI in Enhancing Hydroponic Nutrient Solution Monitoring
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. Th...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Universitas Pendidikan Nasional
2025-04-01
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| Series: | Jurnal Ilmiah Telsinas |
| Subjects: | |
| Online Access: | https://journal.undiknas.ac.id/index.php/teknik/article/view/6242 |
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| author | Musawer Hakimi I Wayan Aditya Suranata Zakirullah Ezam Abdul Wahid Samadzai Wahidullah Enayat Tamanna Quraishi Abdul Wajid Fazil |
| author_facet | Musawer Hakimi I Wayan Aditya Suranata Zakirullah Ezam Abdul Wahid Samadzai Wahidullah Enayat Tamanna Quraishi Abdul Wajid Fazil |
| author_sort | Musawer Hakimi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d5c03d13d9494eacb87fcfd9163f3d10 |
| institution | DOAJ |
| issn | 2621-5276 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Universitas Pendidikan Nasional |
| record_format | Article |
| series | Jurnal Ilmiah Telsinas |
| spelling | doaj-art-d5c03d13d9494eacb87fcfd9163f3d102025-08-20T03:02:53ZengUniversitas Pendidikan NasionalJurnal Ilmiah Telsinas2621-52762025-04-01819410310.38043/telsinas.v8i1.62425504Generative AI in Enhancing Hydroponic Nutrient Solution MonitoringMusawer Hakimi0I Wayan Aditya Suranata1Zakirullah Ezam2Abdul Wahid Samadzai3Wahidullah Enayat4Tamanna Quraishi5Abdul Wajid Fazil6Computer Science Department, Samangan University, Samangan, AfganistanInformation Technology Department, Universitas Pendidikan Nasional, IndonesiaComputer Science Faculty, Sayed Jamaluddin Afghani University, Kunar, AfghanistanFaculty of Computer Science, Kabul University, AfghanistanOndokuz Mayıs Üniversitesi, Samsun, TürkiyeUniversity of the People, USAComputer Science Faculty, Badakhshan University, Badakhshan, AfghanistanGenerative 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.https://journal.undiknas.ac.id/index.php/teknik/article/view/6242small-scale hydroponicsmonitoringgenerative aiflutter interfacethingsboardopen-source |
| spellingShingle | Musawer Hakimi I Wayan Aditya Suranata Zakirullah Ezam Abdul Wahid Samadzai Wahidullah Enayat Tamanna Quraishi Abdul Wajid Fazil Generative AI in Enhancing Hydroponic Nutrient Solution Monitoring Jurnal Ilmiah Telsinas small-scale hydroponics monitoring generative ai flutter interface thingsboard open-source |
| title | Generative AI in Enhancing Hydroponic Nutrient Solution Monitoring |
| title_full | Generative AI in Enhancing Hydroponic Nutrient Solution Monitoring |
| title_fullStr | Generative AI in Enhancing Hydroponic Nutrient Solution Monitoring |
| title_full_unstemmed | Generative AI in Enhancing Hydroponic Nutrient Solution Monitoring |
| title_short | Generative AI in Enhancing Hydroponic Nutrient Solution Monitoring |
| title_sort | generative ai in enhancing hydroponic nutrient solution monitoring |
| topic | small-scale hydroponics monitoring generative ai flutter interface thingsboard open-source |
| url | https://journal.undiknas.ac.id/index.php/teknik/article/view/6242 |
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