Abstract: In an approach to determining and scheduling future data transfers, one or more computer processors determine one or more future data transfers. The one or more computer processors identify an intended travel path of a user over a time interval. The one or more computer processors predict a network signal strength of a user device for the intended travel path over the time interval. The one or more computer processors schedule the one or more future data transfers during the time interval based on the predicted network signal strength.

Abstract: A method and system for enabling an automated vehicular navigational improvement is provided. The method includes monitoring traffic control devices located within a specified perimeter surrounding a vehicle and traffic control devices. Traffic control device data defining operational characteristics of the traffic control devices is retrieved and a distance between the vehicle a traffic control device is determined. Status data indicating a control status of the traffic control device and data defining distances and associated travel speeds of additional vehicles located within said perimeter are retrieved and analyzed. A predicted arrival time of the vehicle and predicted control status the traffic control device is determined and a resulting control command alert associated with driving functions of the vehicle.

Abstract: Plant-initiated, cognitive watering is provided, which includes ascertaining tensile stress on a root wall of a plant, and determining whether the tensile stress on the root wall of the plant reaches a specified threshold. Based on determining that the tensile stress on the root wall of the plant reaches the specified threshold, the method includes facilitating increasing water content in soil around the plant. In one or more implementations, the method may be implemented via a cognitive watering system, which controls the increasing of water content in soil around the plant based, for instance, on data analytics.