Implementation of the Solution

The innovation experiment is focused on co-designing, deploying and testing a solution that will digitise the overall production process, offering extensive supervision, control and optimisation over it along with prediction capabilities on the compost’s nutrients and time of completion. Selected (I4MS) technologies will be integrated into DigiCompost solution: Sensors monitoring the compost pile’s conditions (Temperature, Moisture, pH, O2), IoT technologies for data collection and persistence (wrapped around LoRaWAN), Data analytics (including Machine Learning and AI that will allow to identify correlations among monitored parameters and compost process/outcomes) and Smart Modeling that will support the decision making for automated actuation (compost sprinkler activation when temperature and humidity are above/below a threshold) or dynamic notifications for actions (e.g. usage of compost turner to aerate the compost). DigiCompost will focus on the concurrent management of multiple piles of large volumes of heterogeneous organic raw materials that are composted in open spaces. At the same time relevant restrictions that will be considered are to keep the environmental footprint, the financial investment cost and overall nuisance level to minimum. In order to monitor critical metrics in the field, i.e. parameters related to compost conditions, a technical infrastructure which incorporates and combines sensor devices for recording metrics, RF network for data transmission and a light IT infrastructure for data persistent storage and visualisation, will be utilised.