Abstract: A method for agronomic and agricultural monitoring includes designating an area for imaging, determining a flight path above the designated area, operating an unmanned aerial vehicle (UAV) along the flight path, acquiring images of the area using a camera system attached to the UAV, and processing the acquired images.

Abstract: Described herein are systems and method for monitoring and controlling field operations including planting and harvesting operations. In one embodiment, a data processing system of a machine includes a data transfer and processing module that communicates bi-directionally with different types of controllers and sensors mounted on the machine or an implement attached to the machine. The data transfer and processing module is configured to execute instructions to receive signals from these controllers and sensors, process these signals, and generate data for monitoring and controlling field operations of the machine. At least one display device is coupled to the data transfer and processing module. The at least one display device displays the data for monitoring and controlling field operations of the machine or implement to a user or operator.

Abstract: Described herein are systems and method for monitoring and controlling field operations including planting and harvesting operations. In one embodiment, a data processing system of a machine includes a data transfer and processing module that communicates bi-directionally with different types of controllers and sensors mounted on the machine or an implement attached to the machine. The data transfer and processing module is configured to execute instructions to receive signals from these controllers and sensors, process these signals, and generate data for monitoring and controlling field operations of the machine. At least one display device is coupled to the data transfer and processing module. The at least one display device displays the data for monitoring and controlling field operations of the machine or implement to a user or operator.

Abstract: A computer-implemented method of managing data related to an agricultural process is disclosed.

Abstract: A method for agronomic and agricultural monitoring includes designating an area for imaging, determining a flight path above the designated area, operating an unmanned aerial vehicle (UAV) along the flight path, acquiring images of the area using a camera system attached to the UAV, and processing the acquired images.

Abstract: Described herein are systems and methods for agricultural data analysis. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural data including yield and field data and at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to monitor field operations, to store agricultural data, to automatically determine whether at least one correlation between different variables or parameters of the agricultural data exceeds a threshold, and to perform analysis of the agricultural data to identify a category of man-made issues or other issues that have potentially caused the correlation when at least one correlation occurs between different variables or parameters of the agricultural data.

Abstract: Described herein are a system and methods for identifying fields and tasks (e.g., agricultural fields and tasks). In one embodiment, system includes a display device to display a representation of one or more agricultural fields with geo-referenced boundaries and to receive one or more inputs for identifying at least one agricultural field with agricultural field identification information. A processing system is communicatively coupled to the display device. The processing system is configured to automatically transmit raw data including measurement data and location component data to the display device in response to a machine or an implement starting and to automatically identify location component data of the raw data. The processing system is further configured to automatically assign raw data to at least one agricultural field.

Abstract: Described herein are systems and methods for agricultural data analysis. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural data including yield and field data and at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to monitor field operations, to store agricultural data, to automatically determine whether at least one correlation between different variables or parameters of the agricultural data exceeds a threshold, and to perform analysis of the agricultural data to identify a category of man-made issues or other issues that have potentially caused the correlation when at least one correlation occurs between different variables or parameters of the agricultural data.

Abstract: A system for implementing a trial in one or more fields is provided. In an embodiment, an agricultural intelligence computing system receives field data for a plurality of agricultural fields. Based, at least in part, on the field data for the plurality of agricultural fields, the agricultural intelligence computing system identifies one or more target agricultural fields. The agricultural intelligence computing system sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device.

Abstract: A computer-implemented method of managing data related to an agricultural process is disclosed.

Abstract: Apparatus, systems and methods for monitoring one or more agricultural implements during agricultural operations and for monitoring operator performance criterion. In some embodiment, the operator performance criterion may be reported to a monitor on the agricultural implement as well as a remote fleet monitor.

Abstract: Described herein are methods and systems for generating shared collaborative maps for planting or harvesting operations. A method of generating a collaborative shared map between machines includes generating a first map for a first machine based on a first set of data and generating a second map for a second machine based on a second set of data. The method further includes generating at least one shared collaborative map for at least one of the first and second machines based on the first and second maps.

Abstract: Described herein are systems and methods for capturing images of a field and performing agricultural data analysis of the images. In one embodiment, a computer system for monitoring field operations includes a database for storing agricultural image data including images of at least one stage of crop development that are captured with at least one of an apparatus and a remote sensor moving through a field. The computer includes at least one processing unit that is coupled to the database. The at least one processing unit is configured to execute instructions to analyze the captured images, to determine relevant images that indicate a change in at least one condition of the crop development, and to generate a localized view map layer for viewing the field at the at least one stage of crop development based on at least the relevant captured images.

Abstract: A system and method for monitoring an agricultural implement. The system includes a monitor device, a communication module and a display device. The monitor device is in electrical communication with a plurality of sensors monitoring the operation of agricultural implement. The implement sensors generate “as-applied” data. The as-applied data is processed and transmitted to a display device via a communication module. The display device renders maps representing the as-applied data. The generated maps may be accessed and displayed as map overlays on a display device with a common view characteristic.

Abstract: Described herein are methods and systems for generating shared collaborative maps for planting or harvesting operations. A method of generating a collaborative shared map between machines includes generating a first map for a first machine based on a first set of data and generating a second map for a second machine based on a second set of data. The method further includes generating at least one shared collaborative map for at least one of the first and second machines based on the first and second maps.

Abstract: Apparatus, systems and methods for monitoring one or more agricultural implements during agricultural operations and for monitoring operator performance criterion. In some embodiment, the operator performance criterion may be reported to a monitor on the agricultural implement as well as a remote fleet monitor.

Abstract: Described herein are systems and method for monitoring and controlling field operations including planting and harvesting operations. In one embodiment, a data processing system of a machine includes a data transfer and processing module that communicates bi-directionally with different types of controllers and sensors mounted on the machine or an implement attached to the machine. The data transfer and processing module is configured to execute instructions to receive signals from these controllers and sensors, process these signals, and generate data for monitoring and controlling field operations of the machine. At least one display device is coupled to the data transfer and processing module. The at least one display device displays the data for monitoring and controlling field operations of the machine or implement to a user or operator.

Abstract: A computer-implemented method of managing data related to an agricultural process is disclosed.

Abstract: A method for agronomic and agricultural monitoring includes designating an area for imaging, determining a flight path above the designated area, operating an unmanned aerial vehicle (UAV) along the flight path, acquiring images of the area using a camera system attached to the UAV, and processing the acquired images.

Abstract: Described herein are methods and systems for planting seed. A system includes a row unit configured to open a planting trench. A first seed meter has a first coding scheme and receives a first seed type from a first hopper having the first coding scheme. A second meter has a second coding scheme and receives a second seed type from a second hopper having the second coding scheme.