Development of an IoT System for Real-time Monitoring and Control of Spirulina Cultivation

Abstract

Spirulina, a valuable microalga, is crucial in various industries due to nutritional and industrial applications. However, maintaining optimal conditions for its growth is challenging, especially in open cultivation systems. This project proposes an IoT-based monitoring system to track and control essential parameters like water temperature, pH, Co2, turbidity and light intensity, and water level indicators in spirulina cultivation. By leveraging IoT devices, real-time data monitoring will be enabled, allowing for precise adjustments to create an ideal environment for spirulina growth. The objectives include implementing precision farming, automating data tracking, controlling environmental factors, and reducing manpower through IoT and machine learning. This system aims to enhance spirulina yield and sustainability by ensuring consistent and efficient cultivation practices, making them more efficient, sustainable, and profitable. By creating a precise and controlled environment, farmers can maximize spirulina production while minimizing environmental impact and ensuring consistent product quality. It also emphasizes the importance of data analysis, predictive capabilities, and the overall impact on sustainability and profitability.