In the heart of Indonesia, researchers are pioneering a smart solution to revolutionize hydroponic farming, a method that’s gaining traction in urban agriculture and controlled-environment farming. Arvita Agus Kurniasari, a researcher from Politeknik Negeri Jember, has developed an Intelligent Fuzzy Logic-Controlled IoT System that promises to optimize hydroponic plant monitoring and automation. This innovation could significantly impact the energy sector by reducing resource waste and improving efficiency in agricultural practices.
Hydroponic farming, while water-efficient, often struggles with maintaining optimal growing conditions. Traditional systems rely on manual monitoring and adjustments, which can be time-consuming and inefficient. Kurniasari’s system, however, leverages Internet of Things (IoT) technology and fuzzy logic to automate and fine-tune the process. “This system continuously tracks key environmental parameters,” Kurniasari explains, “and uses a fuzzy logic controller to trigger actions based on predefined rules.”
The system employs sensors to monitor temperature, humidity, soil moisture, pH levels, and total dissolved solids (TDS). During testing, it demonstrated impressive capabilities, such as activating cooling fans when temperature and humidity levels indicated a need, and adjusting nutrient levels when pH and TDS were suboptimal. “The system offers practical benefits through real-time adaptation,” Kurniasari notes, “ensuring precise resource control, improving efficiency, and reducing waste.”
The implications for the energy sector are substantial. By optimizing resource use, the system can reduce the energy consumption associated with hydroponic farming. This is particularly relevant as the world seeks sustainable solutions to feed a growing population while minimizing environmental impact. The system’s scalability makes it suitable for small-scale farmers and urban farming initiatives, potentially democratizing access to advanced agricultural technologies.
Published in *Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer* (English: Journal of Electrical Engineering, Information Technology, and Computer), this research highlights the potential of integrating fuzzy logic and IoT in agriculture. As the world grapples with climate change and resource scarcity, such innovations could pave the way for more sustainable and efficient farming practices.
The research also opens up avenues for future developments. For instance, integrating machine learning algorithms could enable the system to learn and adapt to specific plant types and environmental conditions, further enhancing its efficiency. Additionally, expanding the system’s connectivity to broader agricultural networks could facilitate data sharing and collaborative farming practices.
In the quest for sustainable agriculture, Kurniasari’s work stands out as a beacon of innovation. By harnessing the power of technology, she is not only optimizing plant growth but also contributing to a more energy-efficient and sustainable future. As the world watches, this intelligent system could very well shape the future of hydroponic farming and beyond.