Abstract:
Therefore, the illustrative embodiments provide a computer implemented method and system for determining individual resource needs for each plant in a plurality of plants. Current conditions are identified using a sensor system. A plurality of per plant prescriptions are calculated for the plurality of plants using the individual resource needs and the current conditions. A resource is obtained from a selected resource source in a number of resource sources. The resource is stored in a mobile utility vehicle and applied from the mobile utility vehicle to each plant in the plurality of plants according to the plurality of per plant prescriptions.
Abstract:
A system and method for intelligent computer-implemented downloading of up-to-date information at times when access to data connections are available to improve user efficiency. The system assesses data relevance, calculates the amount of time available for data connections, and prioritizes data downloads based on information relevance, file sizes, download times and other parameters to determine what information to download while access to a connection is available so that the information can be used at a later time when access to a connection may not be available.
Abstract:
The illustrative embodiments provide a chemical dispersion system comprising a number of chemical dispersion nodes, a chemical dispersion manager, and a processor unit. The processor unit executes the chemical dispersion manager to identify a pest problem and generate a chemical dispersion plan for execution by the number of chemical dispersion nodes.
Abstract:
The illustrative embodiments provide a method for controlling a vehicle. In an illustrative embodiment, a dynamic condition is identified and the vehicle is controlled using a knowledge base comprising a fixed knowledge base and a learned knowledge base.
Abstract:
The illustrative embodiments provide an apparatus for performing horticultural tasks comprising a number of data storage devices, a diagnostic system, and a processor unit. The number of data storage devices includes a horticultural knowledge base, a logistics database, and a home site database. The processor unit executes the diagnostic system and accesses the horticultural knowledge base, the logistics database, and the home site database on the number of data storage devices to identify a horticultural need for a plurality of plants.
Abstract:
The illustrative embodiments provide a method for processing sensor data and controlling the movement of a vehicle. An operating environment around the vehicle is identified and sensor data is selected from a set of sensors. A dynamic condition is identified using a plurality of different types of sensors on the vehicle. In response to the dynamic condition being identified, the movement of the vehicle is controlled. Sensor data for a plurality of vehicles is managed by receiving sensor data at the plurality of vehicles, each with a plurality of sensors. In response to a selected vehicle within the plurality of vehicles being unable to obtain needed sensor data, collected sensor data from a number of other vehicles in the plurality of vehicles can be obtained to form alternate sensor data used to control the vehicle.
Abstract:
The different illustrative embodiments provide a system for autonomous machine management comprising a number of autonomous machines, a number of nodes, a performance estimation module, and a navigation system. The number of autonomous machines is configured to perform area coverage tasks in a worksite. The number of nodes is configured to define a number of worksite areas for the worksite. The performance estimation module is executed by a processor unit and configured to calculate a percentage of work completed in the number of worksite areas. The navigation system is configured to operate an autonomous machine to perform the area coverage tasks and move between the number of worksite areas.
Abstract:
A method for initiating movement of a mobile machine is provided. In response to determining that the mobile machine needs to move to a new location based on environmental parameters corresponding to a current position of the mobile machine, a safe location for the mobile machine is determined based on the environmental parameters. An estimated time of travel is calculated from the current position of the mobile machine to the safe location based on a selected travel route for the mobile machine. Then, movement of the mobile machine is initiated prior to a first estimated time when the selected travel route will be impassable due to the environmental parameters based on the estimated time of travel using the selected travel route from the current position of the mobile machine to the safe location.
Abstract:
The illustrative embodiments provide a computer program product for processing sensor data and controlling the movement of a vehicle. In an illustrative embodiment, an operating environment around the vehicle is identified and sensor data is selected from a set of sensors. A dynamic condition is identified using a plurality of different types of sensors on the vehicle. In response to the dynamic condition being identified, the movement of the vehicle is controlled. In another illustrative embodiment, an environment around the vehicle is identified to form an operating environment. Sensor data is selected from a set of sensors in a plurality of redundant sensors based on the operating environment.
Abstract:
A mobile station for an unmanned vehicle comprises a vehicular storage area for storing a vehicle during transit or at rest. A first wireless transceiver communicates a status or command between the vehicle and the mobile station during at least one of vehicular deployment and rest. A station controller manages a management plan of the vehicle comprising at least one of retooling the vehicle, loading a payload on the vehicle, and recharging or refueling of the vehicle.