Abstract: A system for collecting and analyzing agricultural data. A team of crop scouts performs a scouting operation in a farm, each crop scout interacting with a mobile device. The mobile device provides a navigation display guiding the scout along a route, from one data collection point to the next. At each data collection point, the crop scout makes observations and measurements and inputs the corresponding data into the mobile device. A control operator at a central location monitors the progress of the scouting operation and revises the routes or locations of data collection points when appropriate, based on data received during the scouting operation. A cloud service analyzes the data and provides recommendations to a farm operator.

Abstract: A processor implemented method and system are disclosed. The method includes generating, based on geographical data and associated video data, a geo-located path having an interactive segment representative of the associated video data. The width of the interactive segment may be adjusted based on the geographical data and time data. A timeline, based on the geographical data and the time data, is generated. The geo-located path is displayed with the interactive segment. The timeline is displayed in response to a selection of the interactive segment. A representation of the video data is displayed in response to the selection of the interactive segment. The representation of the video data is associated with the selected interactive segment. The representation of the video data and the timeline are selectable for time-based navigation through the representation of the video data.

Abstract: A global object detection server reduces the amount of time needed to determine whether an object is present in a collection of images for a geographic area. In particular, the disclosed global object detection server selects one or more object recognition algorithms from a collection of algorithms based on one or more characteristics of the object to be detected. The algorithm results may then be fed back to reduce input data sets from iterative collections for similar regions. The global object detection server can also derive stochastic probabilities for object detection accuracy. Thereafter, one or more visualizations may be created that show confidence levels for the object's probable location in the collection of images.

Abstract: A processor implemented method and system are disclosed. The method includes generating, based on geographical data and associated video data, a geo-located path having an interactive segment representative of the associated video data. The width of the interactive segment may be adjusted based on the geographical data and time data. A timeline, based on the geographical data and the time data, is generated. The geo-located path is displayed with the interactive segment. The timeline is displayed in response to a selection of the interactive segment. A representation of the video data is displayed in response to the selection of the interactive segment. The representation of the video data is associated with the selected interactive segment. The representation of the video data and the timeline are selectable for time-based navigation through the representation of the video data.

Abstract: A system for collecting and analyzing agricultural data. A team of crop scouts performs a scouting operation in a farm, each crop scout interacting with a mobile device. The mobile device provides a navigation display guiding the scout along a route, from one data collection point to the next. At each data collection point, the crop scout makes observations and measurements and inputs the corresponding data into the mobile device. A control operator at a central location monitors the progress of the scouting operation and revises the routes or locations of data collection points when appropriate, based on data received during the scouting operation. A cloud service analyzes the data and provides recommendations to a farm operator.

Abstract: This document discusses, among other things, apparatus and methods for context-aware mission management. In an example, a system can include a processing center and a plurality of mobile devices. The processing center can be configured to receive one or more mission objectives for one or more mission stages, and to receive information from a plurality of sources, the processing center including a data broker reasoner (DBR) configured to compare the information to the one or more mission objectives and to provide role-based task information for accomplishing the one or more mission objectives. The plurality of mobile devices can be configured to wirelessly communicate with the processing center, to receive login information, to register with the processing center using the login information and to display a portion of the role-based task information associated with the login information.

Abstract: A data broker-reasoner (DBR) system for automating mission planning and execution includes a context originating entity, a reasoner/decision entity, and a plurality of enforcement entities. The context originating entity extracts mission policy information from a variety of source materials, including checklists, manuals, and other documentation. The reasoner/decision entity interprets the mission policy in the context of situational awareness (SA) events to determine which policies should be enforced. Each of the enforcement entities is configured to enforce various policies within the context of a given mission lifecycle phase by providing commands, data, and requests to a plurality of user applications and/or other mission systems. The DBR can operate autonomously or semi-autonomously.