Algae cultivation is increasingly recognized for its potential in sustainable production due to algae’s ability to produce biomass efficiently with a low environmental footprint. However, optimizing algae cultivation operations presents significant challenges, particularly in maintaining precise environmental conditions and minimizing resource use. Traditional methods often lack the adaptability to respond swiftly to changing environmental variables, leading to operational inefficiencies and resource waste. This article explores a multi-layered Industrial digital solution that integrates Asset Administration Shell technology with Internet of Things solutions to address and analyze these challenges and improve system resilience and operational outcomes in macroalgae production. The implementation includes an interconnected field solution based on sensor and actuator networks, edge processing, and integration of industrial communication protocols, which are deployed to tackle distinct operational needs within the algae production environment. Additionally, by leveraging Digital Twins implementation, data persistence with a MongoDB, and dashboard visualization through Grafana, this approach provides the field operators with near real-time monitoring, predictive adjustments, and optimized process management, directly contributing to scalable production. It is hypothesized that this integrated approach will improve cultivation performance and operational efficiency, demonstrating the potential of advanced industrial solutions to support the future of sustainable algae production systems.