The implementation of PI controller for evaporative cooling system in controlled environment greenhouse

AI at the Edge: a Smart Gateway for Greenhouse Air Temperature Forecasting

“…From a technological point of view, several efforts have been undertaken in designing approaches and defining systems aiming at simplifying, enhancing and making the regulation and supervision of greenhouse inner variables automatic. More precisely, as discussed in Section I, automatic management of the internal climate of a greenhouse usually includes: (i) a WSN for collecting and monitoring internal variables, based on IoT technologies [10]- [12]; (ii) several control systems, which automatically perform operations to maintain the internal conditions within desirable ranges [13], [14]; and (iii) internal variables' prediction techniques, in order to forecast their future trends, based on ML-based algorithms, such as ANNs [15], [16].…”

Forecasting Air Temperature on Edge Devices with Embedded AI

“…First, a WSN is deployed inside the greenhouse in order to collect and monitor a subset of relevant environmental parameters (namely, the greenhouse internal variables) [7,9,11]. Second, one or more control systems, based on devices that can control the greenhouse's actuators, are introduced in order to automatically maintain a proper internal climate [12,13]. Third, the internal variables' future trends are forecast with prediction techniques, based on ML algorithms, such as NNs [3,[14][15][16]27,28].…”

“…Hence, monitoring of relevant variables inside the greenhouse is relevant for both end-users (farmers) and for researchers [7][8][9][10][11]. • Secondly, additional control devices (i.e., actuator nodes), installed inside the greenhouse in order to regulate its internal climate [12,13], can be integrated within the aforementioned collection system. As an example, if a dangerous air humidity index is detected by SNs, a ventilation system would automatically be activated in order to lower the air humidity.…”