Hydroponics offers a promising future for sustainable agriculture, but its full potential hinges on our ability to monitor and manage nutrient dynamics with precision and biological insight. The integration of Internet of Things (IoT) technologies with bioinformatics tools to create intelligent, data-driven nutrient management systems offers new smart farming technologies. There have been technological advances in development of environmental sensors measuring variables such as pH, electrical conductivity, and ion concentrations that can be paired with transcriptomic analysis to reveal how plants internally respond to nutrient availability. IoT technologies can be coupled with sensors and as such allowing the transmitting of data via cloud connected platforms for real-time analysis. By treating the hydroponic plants as a biological sensor, there is a shift from reactive management to proactive, plant-informed decision-making. This chapter discusses the design of integrated systems, data synchronization challenges, and methodological strategies for linking sensor data with gene expression profiles. As agriculture moves toward digital transformation, this work advocates for systems that are not only automated but also biologically aware offering a blueprint for the next generation of smart, sustainable hydroponic farming.