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 detecting tripping of ground engaging tools on an agricultural implement may include a ground engaging tool coupled to an implement frame. Furthermore, the system may include a motion sensor installed on the implement frame, with the motion sensor configured to capture data indicative of motion of the implement frame. Moreover, the system may include a controller configured to monitor the motion of the implement frame based on the data received from the motion sensor. In addition, the controller may be further configured to determine when the ground engaging tool has tripped based on the monitored motion.

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.

A harvester monitoring system configured to determine one or more parameters associated with harvested items, the system comprising: a camera module having a field of view and configured to generate image data associated with the harvested items; a mounting bracket configured to secure the camera module to a harvester such that a conveyor of the harvester is within the field of view of the camera module; a location sub-system configured to determine and output location data representative of a geographical location of the harvester monitoring system; and a processing unit configured to receive the image data and the location data, to determine one or more parameters associated with the harvested items, and to record the one or more parameters in association with the location data on a computer readable medium.

An approach to remotely and noninvasively detect and evaluate the response of a plant or plant population to a man-made or natural treatment regime (e.g., herbicide, fungicide or fertilizer treatment) via spectral imaging methods and systems comprising the capture of a plurality of spectral images for a common plant scene, each associated with a selected wavelength region of the electromagnetic spectrum, the formulation of an index function from the spectral information indicative of the plant response over time, and the assessment of mathematical parameters quantifying the time-varying plant response to the treatment regime. The plant response to a treatment regime may be quantified in illustrative embodiments in a fraction of the time previously required by many conventional approaches. Applying varying herbicide dosages to segments of the same plant population enables easy determination of a dose-response curve.

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.

Systems and methods for mapping the distribution of residue material in an environment in which one or more agricultural machines are operable. A sensing arrangement having 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 agricultural machine. From this a local distribution of residue material associated with the spreader tool is determined which is used to update a map of a global distribution of the residue material across the environment. The map comprises a grid-based map having a plurality of cells corresponding to sub-regions within the environment, wherein a value associated with each cell is representative of a measure of the residue material present within the corresponding sub-region.

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.

In an embodiment, agricultural intelligence computer system stores a digital model of nutrient content in soil which includes a plurality of values and expressions that define transformations of or relationships between the values and produce estimates of nutrient content values in soil. The agricultural intelligence computer receives nutrient content measurement values for a particular field at a particular time. The agricultural intelligence computer system uses the digital model of nutrient content to compute a nutrient content value for the particular field at the particular time. The agricultural intelligence computer system identifies a modeling uncertainty corresponding to the computed nutrient content value and a measurement uncertainty corresponding to the received measurement values. Based on the identified uncertainties, the modeled nutrient content value, and the received measurement values, the agricultural intelligence computer system computes an assimilated nutrient content value.