An implement management system detects implement wear and monitors implement states to modify operating modes of a vehicle. The system can determine implement wear using the pull of the implement on the vehicle, the force and angle of which is represented by an orientation vector. The system may measure a current orientation vector and determine an expected orientation vector using sensors and a model (e.g., a machine learned model). Additionally, the implement management system can determine an implement state based on images of the soil and the implement captured by a camera onboard the vehicle during operation. The system may apply different models to the images to determine a likely state of the implement. The difference between the expected and current orientation vectors or the determined implement state may be used to determine whether and how the vehicle's operating mode should be modified.

An implement management system detects implement wear and monitors implement states to modify operating modes of a vehicle. The system can determine implement wear using the pull of the implement on the vehicle, the force and angle of which is represented by an orientation vector. The system may measure a current orientation vector and determine an expected orientation vector using sensors and a model (e.g., a machine learned model). Additionally, the implement management system can determine an implement state based on images of the soil and the implement captured by a camera onboard the vehicle during operation. The system may apply different models to the images to determine a likely state of the implement. The difference between the expected and current orientation vectors or the determined implement state may be used to determine whether and how the vehicle's operating mode should be modified.

A system and method of controlling agriculture equipment which combines geographical coordinates, machine settings, machine position, path plans, user input, and equipment parameters to generate executable commands based of a variety of different in-field agricultural operation objectives for a vehicle equipped with an automatic or electronically controlled locomotion systems capable of reading and executing the commands.

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.

In one aspect, a system for controlling ground-engaging tools of an agricultural implement may include first and second ground-engaging tools configured to perform first and second operations, respectively, on a field as the agricultural implement is moved across the field. Furthermore, a controller of the disclosed system may be configured to determine a first value of a field characteristic based on the received sensor data and adjust an operating parameter of the first ground-engaging tool based on the determined first value. After adjusting the operating parameter of the first ground-engaging tool, the controller may be configured to determine a second value of the field characteristic based on the sensor data and adjust an operating parameter of the second ground-engaging tool based on the determined second value.

Methods and systems for mapping the distribution of residue material in an environment in which one or more agricultural machines are operable. A sensing arrangement including one or more sensors mounted or otherwise coupled to an agricultural machine operating within the environment is used to obtain sensor data indicative of residue material spread by a spreader tool of the machine. A local distribution of material associated with the spreader tool is determined and used to update a map of a global distribution of the material across the environment. The map of the global distribution comprises one or more sub-regions categorized based on the local distribution dependent on material characteristics at those sub-regions.

When it is determined that a tractor is located in a farm field, a first handling process of performing a first treatment for handling an abnormality when a first condition has been satisfied and a second handling process of performing a second treatment for handling an abnormality when a second condition has been satisfied are performed. The first condition is a condition that is satisfied when the second condition has been satisfied and that is satisfied in some situations in which the second condition has not been satisfied.

A method is provided for operating a system consisting of an agricultural working vehicle, at least one working tool arranged thereon, and a controller assigned to the working vehicle. The method includes detecting, by at least one sensor assembly arranged at least on the working tool and having at least two sensors, two different physical variables. The method further includes storing, by a memory, information characterizing the working tool, continuously storing, by the memory, operating data of at least the working tool, and communicating wirelessly via Bluetooth network with the controller by the at least one sensor assembly via a transmitter. The controller is brought into a transmission range of the sensor assembly to activate the communication between them and the operating data temporarily stored in the memory is transmitted to the controller.

A method is provided for operating a system consisting of an agricultural working vehicle, at least one working tool arranged thereon, and a controller assigned to the working vehicle. The method includes detecting, by at least one sensor assembly arranged at least on the working tool and having at least two sensors, two different physical variables. The method further includes storing, by a memory, information characterizing the working tool, continuously storing, by the memory, operating data of at least the working tool, and communicating wirelessly via Bluetooth network with the controller by the at least one sensor assembly via a transmitter. The controller is brought into a transmission range of the sensor assembly to activate the communication between them and the operating data temporarily stored in the memory is transmitted to the controller.

A computing system includes a processor and a non-transitory, computer-readable media including instructions that, when executed by the one or more processors, cause the computing system to access an initial machine data set; label the machine data set; process the labeled machine data set; and modify one or more parameters of the machine-learned model. A method includes accessing an initial machine data set; labeling the machine data set; processing the labeled machine data set; and modifying one or more parameters of the machine-learned model. A computing system for predicting a variety profile index includes a processor; and a non-transitory, computer-readable media including a trained machine-learned model; and instructions that, when executed by the one or more processors, cause the computing system to process a second machine data set to generate one or more predicted variety profile index values; and provide the one or more predicted variety profile index values.