Data Acquisition System for Hydroponic Culture: A Comprehensive Study and Implementation of Scale Model

The development of an intelligent monitoring system suitable for hydroponic greenhouses allows the control of climate parameters and nutritive ingredients, making it possible to grow many plants in urban areas all year round by using intelligent industrial techniques, such as the Internet of Things, cloud computing, big data, and artificial intelligence. In this field, we are working on the development of a fully controlled system for greenhouses, in order to provide an intelligent adjustment of climate parameters and nutrient solution ingredients based on artificial intelligence techniques. In the current paper, the aim is to evaluate the criteria for low-cost environmental parameter sensors, and to detail our scale model. Then, a description of the climate parameter sensors, the nutrient solution sensors, the acquisition board, and the data logging methodology is provided.