A system gathers data from a plurality of sources across a wide geographic region, and produces from the gathered information output to a user, which output indicates to the user factors that may influence supply of product to, and/or operation of, a supply chain. Illustrative embodiments are able to determine that data in a previously received dataset has been changed by its corresponding data source, and subsequently update a corresponding data record maintained by the system. Illustrative embodiments train and employ one or more neural networks to identify anomalies in large datasets, and in some embodiments to predict the impact of various factors on crop production.

Devices and systems for determining personal outdoor comfort are described herein. One device includes instructions executable to receive inputs corresponding to characteristics of a user associated with a mobile device, determine a location of the mobile device, communicate an indication of the characteristics and the determined location to a computing device, and receive an outdoor comfort determination from the computing device, wherein the outdoor comfort determination is particular to the user based on the characteristics of the user and particular to the location of the mobile device based on a plurality of environmental parameters associated with the location of the mobile device.

The present disclosure generally relates to managing weather information. In some embodiments, methods and user interfaces for managing weather information are described. In some embodiments, methods and user interfaces for displaying daily weather information are described.

An information communications system for a construction machine includes a hardware processor. The hardware process is configured to receive construction information from a contractor-side device and receive weather information from a weather server. The hardware processor is configured to generate advisory information based on the received construction information and the received weather information.

One or more computing devices, systems, and/or methods for generating profiles, such as weather profiles, based upon signals from vehicle devices are provided. In an example, a plurality of vehicle measure signals is received from a plurality of vehicle devices. A first vehicle measure signal of the plurality of vehicle measure signals is received from a first vehicle device, of the plurality of vehicle devices, connected to a first vehicle. The first vehicle measure signal is indicative of a first location of the first vehicle and one or more first vehicle measures determined using one or more first sensors of the first vehicle. A vehicle measure profile associated with a region is generated based upon the plurality of vehicle measure signals. The vehicle measure profile is indicative of one or more second vehicle measures at one or more locations within the region.

Generating specific and contextualized natural language descriptions based upon raster-based weather visualizations for a defined geographic region. The generated natural language descriptions are provided in a written and/or audible form. In some cases, these natural language descriptions are generated based on weather forecast data sets that indicate a relative motion of certain weather-related events.

An agricultural apparatus operable in agricultural fields includes one or more digital electronic weather stations affixed to the apparatus and optionally one or more GPS receivers and/or proximity sensors, each coupled to a mobile computing device such as a cab computer. The weather stations transmit data representing wind speed, temperature and/or other weather parameters, as measured on the apparatus, to the mobile computing device. Under control of program logic, the mobile computing device continuously compares real-time, then-current weather data received from the weather stations to programmed or configured threshold values relating to a current agricultural operation. If the weather data indicates weather conditions that exceed one of the thresholds, a warning message may be generated at the mobile computing device to prompt the operator to confirm whether to continue the operation.

The present disclosure belongs to the technical field of monitoring landslide mass geological disasters, and discloses a multi-state triggered system and method for remote automatic monitoring and early warning of a landslide mass. The multi-state triggered system for remote automatic monitoring and early warning of a landslide mass includes: a landslide mass monitoring module, a data preprocessing module, a communication module, a central control module, a displacement monitoring module, a stability evaluation module, an abnormality early warning module, a power supply module, a data storage module and a display update module. In the present disclosure, through the displacement monitoring module and the stability evaluation module, long-term automatic monitoring of the landslide mass can be realized, and the displacement change of the landslide mass can be grasped so as to evaluate the stability of the landslide mass.

A first device may receive data inputs from data sources corresponding to raw weather, non-weather, and/or environmental data. The first device may generate targeted alerts based on the data inputs and transmit the targeted alerts to a second device associated with a user.

The present disclosure generally relates to managing weather information. In some embodiments, methods and user interfaces for managing weather information are described. In some embodiments, methods and user interfaces for displaying daily weather information are described.