An Intelligent Fuzzy Logic-Controlled IoT System for Efficient Hydroponic Plant Monitoring and Automation
This paper addresses the challenges of optimizing environmental conditions in hydroponic farming by integrating an Intelligent Fuzzy Logic-Controlled IoT System. The research problem lies in the inefficiency of traditional hydroponic monitoring systems, particularly in maintaining ideal conditions f...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
P3M Politeknik Negeri Banjarmasin
2025-06-01
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| Series: | Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer |
| Subjects: | |
| Online Access: | https://eltikom.poliban.ac.id/index.php/eltikom/article/view/1475 |
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