Miller Magazine Issue: 124 April 2020

80 ARTICLE MILLER / APRIL 2020 task can now be done based on grain condition estima- tion an analysis and data fusion coming from sensors inside the product, scientific knowledge on safe storage time (Kaleta and Grnicki 2013; Navarro and Noyes 2002), and, simulations estimating the conditions throughout the whole grain mass, based on the local weather conditions. Adding the simulations of the aeration effect based on the fans specs and local climate, offers a highly accurate aeration scheduling tool that is also able to operate suc- cessfully under different goals set by the user. Layer 4: Application Layer For an elevator manager to benefit from what the IoT has to offer, an intuitive app is needed. No matter how many or how important data and estimations are produ- ced by a system, if it fails to convey the right messages at Figure 3. Combination of CO2 and Temperature patterns identified by AI as spoilage event. Figure 4. All major tasks related to elevator management in one single application.