WO2025149802A1

WO2025149802A1 - Method and system to determine as-applied data for an applied product for one or more application passes in different regions of a field

Info

Publication number: WO2025149802A1
Application number: PCT/IB2024/062294
Authority: WO
Inventors: David Aaron Wilcoxson
Original assignee: Precision Planting LLC
Current assignee: Precision Planting LLC
Priority date: 2024-01-08
Filing date: 2024-12-06
Publication date: 2025-07-17
Anticipated expiration: 2026-07-08

Abstract

A computer-implemented method includes receiving (204), with a graphical user interface, a user input for selecting a parameter for an agricultural data layer having as-applied data being collected from an implement (140, 1240) or agricultural vehicle during one or more application passes in a field (302), determining (206) data values of as-applied data of the agricultural data layer for the selected parameter for a first region of the field having a first application pass (320, 420) for a field view, and determining (206) data values of combined as-applied data of the agricultural data layer for the selected parameter for a second region (350, 450) of the field having two or more application passes for the field view with data values for the first application pass (320, 420) and data values for a second application pass (330, 430) being summed for the second region of the field.

Description

METHOD AND SYSTEM TO DETERMINE AS-APPLIED DATA FOR AN APPLIED PRODUCT FOR ONE OR MORE APPLICATION PASSES IN DIFFERENT REGIONS OF A FIELD

CROSS REFERENCE TO RELATED APPLICATIONS

[0001] This application claims priority to U.S. Provisional Application No. 63/618750, filed 8 January 2024, which is incorporated herein by reference in its entirety.

TECHNICAL FIELD

[0002] Embodiments of the present disclosure relate to a method and system to determine as- applied data for an applied product for one or more application passes in different regions of an agricultural field.

BACKGROUND

[0003] Planters are used for planting seeds of crops (e.g., corn, soybeans) in a field. Some planters include a display monitor within a cab for displaying a coverage map that shows regions of the field that have been planted. The coverage map of the planter is generated based on planting data collected by the planter. Certain regions can be overplanted especially when making a turn in a headlands, which is a strip of land left unplowed at an end of a field.

BRIEF SUMMARY

[0004] In an aspect of the disclosure there is provided a computer implemented method to determine as-applied data for an applied product for one or more application passes in different regions of an agricultural field. The computer implemented method comprising receiving, with a graphical user interface, a user input for selecting a parameter for an agricultural data layer having as-applied data being collected from an implement or agricultural vehicle during one or more application passes in a field, determining data values of as-applied data of the agricultural data layer for the selected parameter for a first region of the field having a first application pass for a field view, and determining data values of combined as-applied data of the agricultural data layer for the selected parameter for a second region of the field having two or more application passes for the field view with data values for the first application pass and data values for a second application pass being summed for the second region of the field. [0005] In one example, the computer implemented method further comprises displaying with the graphical user interface the data values of the as-applied data of the agricultural data layer for the first region of the field and data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0006] In one example, the computer implemented method further comprises determining an overapplication metric based on an amount of product applied in granular acres and land acres covered during the one or more application passes.

[0007] In one example, the computer implemented method further comprises displaying, with the graphical user interface, the data values of the as-applied data of the agricultural data layer for the first region of the field in a first color and data values of the combined as-applied data of the agricultural data layer for the second region of the field in a second color in the field view. [0008] In one example, the computer implemented method further comprises receiving, with the graphical user interface, a user input for selecting an overapply option to enable displaying of the data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0009] In one example, the computer implemented method further comprises displaying with the graphical user interface a bar graph or histogram to show a percentage of the field or actual acres in the field covered separately per each application pass.

[0010] In one example of the computer implemented method, the bar graph or histogram shows a number of passes applied to the field.

[0011] In one example of the computer implemented method, the parameter comprises a seeding parameter including a crop hybrid, a population, a population state, an insecticide or weed and feed parameter, a nitrogen, a starter, or a fungicide parameter.

[0012] In another aspect of the disclosure, a system comprises a display device for displaying a user interface having a field view with data values for a parameter for an agricultural data layer for an agricultural field and at least one processor coupled to the display device. The at least one processor is configured to execute instructions to receive, with the user interface, a user input for selecting a parameter for an agricultural data layer having as-applied data being collected from an implement or agricultural vehicle during one or more application passes in a field, to determine data values of as-applied data of the agricultural data layer for the selected parameter for a first region of the field having a first application pass for a field view, and to determine data values of combined as-applied data of the agricultural data layer for the selected parameter for a second region of the field having two or more application passes for the field view with data values for the first application pass and data values for a second application pass being summed for the second region of the field.

[0013] In one example of the system, the display device is configured to display with the user interface the data values of the as-applied data of the agricultural data layer for the first region of the field and data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0014] In one example of the system, the at least one processor is configured to execute instructions to determine an overapplication metric based on an amount of product applied in granular acres and land acres covered during the one or more application passes.

[0015] In one example of the system, the display device is configured to display, with the user interface, the data values of the as-applied data of the agricultural data layer for the first region of the field in a first color and data values of the combined as-applied data of the agricultural data layer for the second region of the field in a second color in the field view.

[0016] In one example of the system, the display device is configured to receive, with the user interface, a user input for selecting an overapply option to enable displaying of the data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0017] In one example of the system, the display device is configured to display with the graphical user interface a bar graph or histogram to show a percentage of the field or actual acres in the field covered separately per each application pass.

[0018] In an aspect of the disclosure there is provided a computer implemented method for collecting as-applied data from at least one sensor of an implement or agricultural vehicle during one or more application passes in a field, determining data values of as-applied data of an agricultural data layer for a selected parameter for a first region of the field having a first application pass for a field view, and determining data values of combined as-applied data of the agricultural data layer for the selected parameter for a second region of the field having two or more application passes for the field view with data values for the first application pass and data values for a second application pass being summed for the second region of the field.

[0019] In one example, the computer implemented method further comprises displaying with a graphical user interface of a display device the data values of the as-applied data of the agricultural data layer for the first region of the field and data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0020] In one example, the computer implemented method further comprises determining an overapplication metric based on an amount of product applied in granular acres and land acres covered during the one or more application passes.

[0021] In one example, the computer implemented method further comprises displaying, with a graphical user interface, the data values of the as-applied data of the agricultural data layer for the first region of the field in a first color and data values of the combined as-applied data of the agricultural data layer for the second region of the field in a second color in the field view.

[0022] In one example, the computer implemented method further comprises receiving, with the graphical user interface, a user input for selecting an overapply option to enable displaying of the data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0023] In one example, the computer implemented method further comprises

[0024] displaying with the graphical user interface a bar graph or histogram to show a percentage of the field or actual acres in the field covered separately per each application pass.

BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The present disclosure is illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:

[0026] FIG. 1 shows an example of a system for performing agricultural operations (e.g., planting operations) of agricultural fields including operations of an implement having row units in accordance with one embodiment.

[0027] FIGs. 2A-2B illustrate a flow diagram of one embodiment for a method 200 of determining a total applied product throughout a field including overapplied regions of an agricultural field.

[0028] FIG. 3 illustrates a field view of an agricultural data layer. [0029] FIG. 4 illustrates a field view 400 of an agricultural data layer using an additive algorithm in accordance with one embodiment.

[0030] FIG. 5 illustrates a field view 500 of an agricultural data layer using an additive algorithm in accordance with one embodiment.

[0031] FIG. 6 illustrates a field view 600 of an agricultural data layer using an additive algorithm in accordance with one embodiment.

[0032] FIG. 7 illustrates a bar graph or histogram to be displayed on a graphical user interface for a field view application in accordance with one embodiment.

[0033] FIG. 8 shows an example of a block diagram of a self-propelled implement 140 (e.g., sprayer, spreader, irrigation implement, etc.) in accordance with one embodiment.

[0034] FIG. 9 shows an example of a block diagram of a system 100 that includes a machine 102 (e.g., tractor, combine harvester, etc.) and an implement 1240 (e.g., planter, cultivator, plough, sprayer, spreader, irrigation implement, etc.) in accordance with one embodiment.

DETAILED DESCRIPTION

[0035] All references cited herein are incorporated herein in their entireties. If there is a conflict between a definition herein and in an incorporated reference, the definition herein shall control. At least one of A, B, and C refers to a selection of A alone, B alone, C alone, a combination of A and B, a combination of A and C, a combination of B and C, or a combination of A and B and C. [0036] Described herein are systems and methods for precisely determining as-applied data for an applied product in a field. In one example, one application pass occurs in certain regions of a field and multiple application passes occur in other regions of a field. A grower will then know an actual amount of applied product for each region of a field and can minimize overapplication of the product in regions of the field to reduce product costs and optimize yield throughout a field. A graphical user interface generates and displays the as-applied data for the applied product in the field view based on one or more application passes of the applied product.

[0037] While illustrated with visualized data obtained from agricultural fields, the described operations can be used with any visualized data. In one embodiment, a data processing system (e.g., planter monitor of a cab, display system, tractor, machine, apparatus, computing device, user device, drone, self-guided device, self-propelled device, etc.) can generate and cause a display device to display a localized view map layer that is geographically associated with a selected region of a field map.

[0038] In the following description, numerous details are set forth. It will be apparent, however, to one skilled in the art, that embodiments of the present disclosure may be practiced without these specific details. In some instances, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring the present disclosure.

[0039] FIG. 1 shows an example of a system for performing agricultural operations (e.g., planting operations, tillage operations, irrigation operations, fluid operations, etc.) of agricultural fields including operations of an implement having row units in accordance with one embodiment. For example, and in one embodiment, the system 100-1 may be implemented as a cloud based system with servers, data processing devices, computers, etc. Aspects, features, and functionality of the system 100-1 can be implemented in servers, planters, planter monitors, combines, implements, laptops, tablets, computer terminals, client devices, user devices (e.g., device 190-1), handheld computers, personal digital assistants, cellular telephones, cameras, smart phones, mobile phones, computing devices, or a combination of any of these or other data processing devices.

[0040] In other embodiments, the system includes a network computer or an embedded processing device within another device (e.g., display device) or within a machine (e.g., planter, combine), or other types of data processing systems having fewer components or perhaps more components than that shown in Figure 1. The system 100-1 (e.g., cloud based system) and agricultural operations can control and monitor planting operations for planting within a planting furrow or trench using an implement or machine. The system 100-1 includes machines 140-1, 142-1, 144-1, 146-1 and implements 141-1, 143-1, 145-1 coupled to a respective machine. The implements (or machines) can include row units for planting operations of rows of crops within associated fields (e.g., fields 103-1, 105-1, 107-1, 109-1). The system 100-1 includes an agricultural analysis system 122-1 that includes a weather store 150-1 with current and historical weather data, weather predictions module 152-1 with weather predictions for different regions, and at least one processing system 132-1 for executing instructions for controlling and monitoring different operations (e.g., planting, fertilizing). The storage medium 136-1 may store instructions, software, software programs, etc. for execution by the processing system and for performing operations of the agricultural analysis system 122-1. In one example, storage medium 136-1 may contain a planting prescription (e.g., planting prescription that relates georeferenced positions in the field to planting parameters (e.g., soil type, downforce, speed, seed orientation, etc.). The implement 141-1 (or any of the implements) may include an implement 200-1 whose sensors and/or controllers may be specifically the elements that are in communication with the network 180-1 for sending control signals or receiving as-applied data. [0041] An image database 160-1 stores captured images of plants or crops at different growth stages and seed at different positions and orientation in a seed passageway during planting. A data analytics module 130-1 may perform analytics on agricultural data (e.g., images, weather, field, yield, etc.) to generate crop predictions 162-1 relating to agricultural operations.

[0042] A field information database 134-1 stores agricultural data (e.g., crop growth stage, soil types, soil characteristics, moisture holding capacity, etc.) for the fields that are being monitored by the system 100-1. An agricultural practices information database 135-1 stores farm practices information (e.g., as-applied planting information (e.g., seed orientation), as-applied spraying information, as-applied fertilization information, planting population, applied nutrients (e.g., nitrogen), yield levels, proprietary indices (e.g., ratio of seed population to a soil parameter), etc.) for the fields that are being monitored by the system 100-1. An implement can obtain seed orientation data and provide this data to the system 100-1. A cost/price database 138-1 stores input cost information (e.g., cost of seed, cost of nutrients (e.g., nitrogen)) and commodity price information (e.g., revenue from crop).

[0043] The system 100-1 shown in FIG. 1 may include a network interface 118-1 for communicating with other systems or devices such as drone devices, user devices, and machines (e.g., planters, combines) via a network 180-1 (e.g., Internet, wide area network, WiMax, satellite, cellular, IP network, etc.). The network interface includes one or more types of transceivers for communicating via the network 180-1.

[0044] The processing system 132-1 may include one or more microprocessors, processors, a system on a chip (integrated circuit), or one or more microcontrollers. The processing system includes processing logic for executing software instructions of methods describe herein and software programs. The system 100-1 includes the storage medium 136-1 for storing data and programs for execution by the processing system. The storage medium 136-1 can store, for example, software components such as a software application for controlling and monitoring planting operations or any other software application for providing viewing and replay functionality for diagnostics and troubleshooting. The storage medium 136-1 can be any known form of a machine readable non-transitory storage medium, such as semiconductor memory (e.g., flash; SRAM; DRAM; etc.) or non-volatile memory, such as hard disks or solid-state drive. [0045] While the storage medium (e.g., machine-accessible non-transitory medium) is shown in an exemplary embodiment to be a single medium, the term “machine-accessible non-transitory medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more sets of instructions. The term “machine- accessible non-transitory medium” shall also be taken to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the present disclosure. The term “machine-accessible non-transitory medium” shall accordingly be taken to include, but not be limited to, solid-state memories, optical and magnetic media, and carrier wave signals.

[0046] FIGs. 2A-2B illustrate a flow diagram of one embodiment for a method 200 of determining a total product applied throughout a field including overapplied regions of an agricultural field. The method 200 is performed by processing logic that may comprise hardware (circuitry, dedicated logic, graphics processing unit (GPU), etc.), software (such as is run on a general purpose computer system or a dedicated machine or a device), or a combination of both. In one embodiment, the method 200 is performed by processing logic of at least one data processing system (e.g., system 100-1, machine, apparatus, monitor, display device, computing device, user device, self-guided device, self-propelled device, etc.). The data processing system executes instructions of a software application or program with processing logic. The software application or program can be initiated by the data processing system. In one example, a monitor or display device receives user input and provides a customized display for operations of the method 200.

[0047] At operation 202, a software application (e.g., cloud based application, mobile application) is initiated on a data processing system (e.g., system 100-1, processing system 132- 1, 1200, 162, machine, apparatus, user device, self-guided device, self-propelled device, etc.) and displayed on a monitor or display device as a user interface. The data processing system may be integrated with or coupled to a machine that performs an application pass (e.g., planting, tillage, fertilization, irrigation, etc.). Alternatively, the data processing system may be integrated with an apparatus (e.g., drone, image capture device) associated with the machine that captures images during the application pass. The user interface can include different selectable system parameters (e.g., plant summary (e.g., coverage, elevation, vehicle speed), insecticide or weed & feed parameter (e.g., magnitude, deviation, uniformity, blockage), nitrogen, starter, or fungicide parameter (e.g., flow, flow state), seeding (e.g., crop hybrid, population, population state, seeding tank, singulation, SRI, meter vacuum), organic matter, or any measured property) of a field view region.

[0048] At operation 204, the graphical user interface (GUI) of the software application receives user input to select a parameter for an agricultural data layer during one or more application passes in a field. At operation 206, the method generates and displays as-applied data of the agricultural data layer in a field view of the GUI based on the user input. The data layer includes various data values at different locations in a field for the selected parameter. The data values are collected from sensors of a tractor or implement during data collection of an application pass (e.g., planting operation, spraying operation, tillage operation, etc.). Any data layer with continuous data can be displayed in the field view.

[0049] At operation 208, the computer-implemented method determines data values of the as- applied data of the agricultural data layer for the selected parameter throughout different regions of a field. A first region of the field may have a first application pass for a field view and data values are determined for the first application pass. For a second region of the field having two or more application passes, the method determines data values of combined as-applied data of the agricultural data layer for the two or more application passes. Data values for the first application pass and data values for a second application pass (and any additional application passes) can be summed for the second region of the field.

[0050] At operation 210, the computer-implemented method receives, with the graphic user interface, a user input for selecting an overapply option to enable displaying of the data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view. [0051] At operation 212, the computer-implemented method determines an overapplication metric based on an amount of product applied and land acres covered during the two or more application passes.

[0052] At operation 214, the computer implemented method displays with a graphical user interface the data values of the as-applied data of the agricultural data layer for the first region of the field in a first color and data values of the combined as-applied data of the agricultural data layer for the second region of the field in a second color in the field view.

[0053] At operation 216, the computer implemented method further comprises displaying with the graphical user interface a bar graph or histogram to show a percentage of the field or actual acres in the field covered separately by the first application pass and the second application pass. In one example, the bar graph or histogram shows a number of passes applied to the field.

[0054] A selection of a different parameter will cause the field view to display a data layer for a different parameter. In some embodiments, the operations of the method(s) disclosed herein can be altered, modified, combined, or deleted. The methods in embodiments of the present disclosure may be performed with a device, an apparatus, or data processing system as described herein. The device, apparatus, or data processing system may be a conventional, general- purpose computer system or special purpose computers, which are designed or programmed to perform only one function, may also be used.

[0055] FIG. 3 illustrates a field view 300 of an agricultural data layer of a field 302. As discussed above, there are regions of a field that get overplanted, especially when making a turn in the headlands. A first application pass 320 occurs when a tractor 310 pulling an implement plants a perimeter region of the field. A second application 330 has a route horizontally across an interior region of the field. The overplanted region 350 subject to multiple planting application passes is the cross hatched area. This may occur when an application is not precisely shut off when reaching a boundary. The seed population in the overplanted region 350 is not correctly determined when a last application pass in the overlap region 350 determines as-applied data for a seed population without accounting for any previous application passes.

[0056] FIG. 4 illustrates a field view 400 of an agricultural data layer using an additive algorithm in accordance with one embodiment. An application pass 430 occurs when a tractor 410 pulling an implement plants in horizontal passes across a left portion of the field and a field view software application displays a population of 31,670 seeds/acre based on the application pass 430. An application pass 420 has a route vertically across a right portion of the field and the field view software application displays a population of 32,150 seeds/acre based on the application pass 420. The overplanted region 450 that is subject to multiple planting application passes is the cross hatched area between a vertical line 451 and a vertical line 452. This may occur when an application is not precisely shut off when reaching a boundary. The seed population in the overplanted region 450 is correctly determined with an additive algorithm (e.g., operations of method 200) when all application passes in the overlap region 450 are utilized to determine a seed population (e.g., 64,146 seeds/acre).

[0057] FIG. 5 illustrates a field view 500 of an agricultural data layer using an additive algorithm in accordance with one embodiment. The field view 500 shows different parameters (e.g., population, singulation, SRI, seeding lifted/swatch, nitrogen, down force, vacuum, field coverage, row speed, etc.) for an agricultural operation. A tractor 510 pulling an implement is show in a planting pass. Selection of an overapply option 550 allows a user to select this option and utilize an additive algorithm to determine and display seed population through a field including regions with a single pass and regions with multiple passes.

[0058] FIG. 6 illustrates a field view 600 of an agricultural data layer using an additive algorithm in accordance with one embodiment. The field view 600 shows different parameters (e.g., population, singulation, SRI, seeding lifted/swatch, nitrogen, down force, vacuum, field coverage, row speed, etc.) for an agriculural operation. A tractor 610 pulling an implement is show in a planting pass. An overapply option 550 has been selected and this causes an additive algorithm to determine and display seed population through a field including regions with a single pass and regions with multiple passes. The granular overapplication 660 is displayed in field view 600 to show a granular overapplication of 5.2% in this example.

[0059] The granular overapplication metric shows product acres / covered acres (e.g., (granular acres / covered acres)-l)*100) to determine a granular overapplication metric.

[0060] A granular applied acre corresponds to product acres while covered acres corresponds to land acres. [0061] The seed population in any overlap regions is correctly determined with an additive algorithm (e.g., operations of method 200) when all application passes in the overlap region are utilized to determine a seed population.

[0062] FIG. 7 illustrates a bar graph or histogram to be displayed on a graphical user interface for a field view application in accordance with one embodiment. The bar graph or histogram 700 shows a percentage of the field or actual acres in the field covered in an application pass on a vertical axis versus a number of application passes on an x-axis.

[0063] FIG. 8 shows an example of a block diagram of a self-propelled implement 140 (e.g., sprayer, spreader, irrigation implement, etc.) in accordance with one embodiment. The implement 140 includes a processing system 1200, memory 105, and a network interface 115 for communicating with other systems or devices. The network interface 115 can include at least one of a GPS transceiver, a WLAN transceiver (e.g., WiFi), an infrared transceiver, a Bluetooth transceiver, Ethernet, or other interfaces from communications with other devices and systems. The network interface 115 may be integrated with the implement network 150 or separate from the implement network 150 as illustrated in FIG. 8. The I/O ports 129 (e.g., diagnostic/on board diagnostic (OBD) port) enable communication with another data processing system or device (e.g., display devices, sensors, etc.).

[0064] In one example, the self-propelled implement 140 performs operations for planting applications of a field. Data associated with the planting applications can be displayed on at least one of the display devices 125 and 130.

[0065] The processing system 1200 may include one or more microprocessors, processors, a system on a chip (integrated circuit), or one or more microcontrollers. The processing system includes processing logic 126 for executing software instructions of one or more programs and a communication unit 128 (e.g., transmitter, transceiver) for transmitting and receiving communications from the network interface 115 or implement network 150. The communication unit 128 may be integrated with the processing system or separate from the processing system. [0066] Processing logic 126 including one or more processors may process the communications received from the communication unit 128 including agricultural data (e.g., planting data, GPS data, fluid application data, flow rates, etc.). The system 1200 includes memory 105 for storing data and programs for execution (software 106) by the processing system. The memory 105 can store, for example, software components such as application software for analysis of planting applications for performing operations of the present disclosure, or any other software application or module, reflectance signals from sensor arrays, images (e.g., images of seed in a seed passageway, captured images of crops, images of a spray pattern for rows of crops, images for camera calibrations), alerts, maps, etc. The memory 105 can be any known form of a machine readable non-transitory storage medium, such as semiconductor memory (e.g., flash; SRAM; DRAM; etc.) or non-volatile memory, such as hard disks or solid-state drive. The system can also include an audio input/output subsystem (not shown) which may include a microphone and a speaker for, for example, receiving and sending voice commands or for user authentication or authorization (e.g., biometrics).

[0067] The processing system 1200 communicates bi-directionally with memory 105, implement network 150, network interface 115, display device 130, display device 125, and I/O ports 129 via communication links 131-136, respectively.

[0068] Display devices 125 and 130 can provide visual user interfaces for a user or operator. The display devices may include display controllers. In one embodiment, the display device 125 is a portable tablet device or computing device with a touchscreen that displays data (e.g., planting application data with seed orientation, liquid or fluid application data, captured images, localized view map layer, high definition field maps of as-applied liquid or fluid application data, as- planted or as-harvested data or other agricultural variables or parameters, yield maps, alerts, etc.) and data generated by an agricultural data analysis software application and receives input from the user or operator for an exploded view of a region of a field, monitoring and controlling field operations. The operations may include configuration of the machine or implement, reporting of data, control of the machine or implement including sensors and controllers, and storage of the data generated. The display device 1230 may be a display (e.g., display provided by an original equipment manufacturer (OEM)) that displays images and data for a localized view map layer, as-applied liquid or fluid application data, as-planted or as-harvested data, yield data, controlling an implement (e.g., planter, tractor, combine, sprayer, etc.), steering the implement, and monitoring the implement (e.g., planter, combine, sprayer, etc.). A cab control module 1270 may include an additional control module for enabling or disabling certain components or devices of the implement. [0069] The implement 140 (e.g., planter, cultivator, plough, sprayer, spreader, irrigation, implement, etc.) includes an implement network 150 having multiple networks. The implement network 150 having multiple networks (e.g., Ethernet network, Power over Ethernet (PoE) network, a controller area network (CAN) serial bus protocol network, an ISOBUS network, etc.) may include a pump 156 for pumping liquid or fluid from a storage tank(s) 190 to row units of the implement, communication module 180 for receiving communications from controllers and sensors and transmitting these communications. In one example, the implement network 150 includes nozzles 50, lights 60, and vision system 75 having cameras and processors for various embodiments of this present disclosure.

[0070] Sensors 152 (e.g., speed sensors, seed sensors (e.g., a single sensor disposed at one or more orientations, a first sensor at a first orientation, first location of a seed passageway and a second sensor at a second orientation, second location of the seed passageway, a sensor array at a first orientation, a sensor array at a second orientation, or a combination of a first sensor array at a first orientation and second sensor array or sensor at a second orientation, light-emitting diodes (LEDs), laser diodes) having light arrays for detecting passage of seed, downforce sensors, actuator valves, OEM sensors, flow sensors, etc.), controllers 154 (e.g., drive system, GPS receiver), and the processing system 120 control and monitoring operations of the implement. The OEM sensors may be moisture sensors or flow sensors, speed sensors for the implement, fluid application sensors for a sprayer, or vacuum, lift, lower sensors for an implement. For example, the controllers may include processors in communication with a plurality of sensors. The processors are configured to process data (e.g., fluid application data) and transmit processed data to the processing system 120. The controllers and sensors may be used for monitoring motors and drives on the implement.

[0071] FIG. 9 shows an example of a block diagram of a system 100 that includes a machine 102 (e.g., tractor, combine harvester, etc.) and an implement 1240 (e.g., planter, cultivator, plough, sprayer, spreader, irrigation implement, etc.) in accordance with one embodiment. The machine 102 includes a processing system 1200, memory 105, machine network 110 that includes multiple networks (e.g., an Ethernet network, a network with a switched power line coupled with a communications channel (e.g., Power over Ethernet (PoE) network), a controller area network (CAN) serial bus protocol network, an ISOBUS network, etc.), and a network interface 115 for communicating with other systems or devices including the implement 1240. The machine network 110 includes sensors 112 (e.g., speed sensors), controllers 111 (e.g., GPS receiver, radar unit) for controlling and monitoring operations of the machine or implement. The network interface 115 can include at least one of a GPS transceiver, a WLAN transceiver (e.g., WiFi), an infrared transceiver, a Bluetooth transceiver, Ethernet, or other interfaces from communications with other devices and systems including the implement 1240. The network interface 115 may be integrated with the machine network 110 or separate from the machine network 110 as illustrated in FIG. 9. The I/O ports 129 (e.g., diagnostic/on board diagnostic (OBD) port) enable communication with another data processing system or device (e.g., display devices, sensors, etc.).

[0072] In one example, the machine is a self-propelled machine that performs operations of a tractor that is coupled to and tows an implement for planting or fluid applications of a field. Data associated with the planting or fluid applications can be displayed on at least one of the display devices 125 and 130.

[0073] The processing system 1200 may include one or more microprocessors, processors, a system on a chip (integrated circuit), or one or more microcontrollers. The processing system includes processing logic 126 for executing software instructions of one or more programs and a communication unit 128 (e.g., transmitter, transceiver) for transmitting and receiving communications from the machine via machine network 110 or network interface 115 or implement via implement network 150 or network interface 160. The communication unit 128 may be integrated with the processing system or separate from the processing system. In one embodiment, the communication unit 128 is in data communication with the machine network 110 and implement network 150 via a diagnostic/OBD port of the I/O ports 129 or via network devices 113a and 113b. A communication module 113 includes network devices 113a and 113b. The communication module 113 may be integrated with the communication unit 128 or a separate component.

[0074] Processing logic 126 including one or more processors may process the communications received from the communication unit 128 including agricultural data (e.g., planting data with seed orientation data, GPS data, liquid application data, flow rates, weed parameters, a crop identification, a camera height from a camera to a ground level, a crop stress indicator, a drought stress indicator, and insect indicator for different target regions, plant summary (e.g., coverage, elevation, vehicle speed), closing force parameter (e.g., applied force, average force, force margin, minimum force, force state), down force parameter (e.g., applied force, average force, force margin, minimum force, force state), insecticide or weed & feed parameter (e.g., magnitude, deviation, uniformity, blockage), nitrogen, starter, or fungicide parameter (e.g., flow, flow state), seeding (e.g., crop hybrid, population, population state, seeding tank, singulation, SRI, meter vacuum), organic matter, temperature, vehicle or implement speed, or any measured property, etc.). The system 1200 includes memory 105 for storing data and programs for execution (software 106) by the processing system. The memory 105 can store, for example, software components such as field application software for analysis of field applications for performing operations of the present disclosure, or any other software application or module, images (e.g., images of seed in a seed passageway, images for camera calibrations, captured images of crops), alerts, maps, etc. The memory 105 can be any known form of a machine readable non-transitory storage medium, such as semiconductor memory (e.g., flash; SRAM; DRAM; etc.) or non-volatile memory, such as hard disks or solid-state drive. The system can also include an audio input/output subsystem (not shown) which may include a microphone and a speaker for, for example, receiving and sending voice commands or for user authentication or authorization (e.g., biometrics).

[0075] The processing system 120 communicates bi-directionally with memory 105, machine network 110, network interface 115, display device 130, display device 125, and I/O ports 129 via communication links 130-136, respectively.

[0076] Display devices 125 and 130 can provide visual user interfaces for a user or operator. The display devices may include display controllers. In one embodiment, the display device 125 is a portable tablet device or computing device with a touchscreen that displays data (e.g., seed orientation data, weed parameters, a crop identification, planting application data, liquid or fluid application data, captured images, localized view map layer, high definition field maps of as- applied liquid or fluid application data, as-planted or as-harvested data or other agricultural variables or parameters, yield maps, alerts, etc.) and data generated by an agricultural data analysis software application and receives input from the user or operator for an exploded view of a region of a field, monitoring and controlling field operations. The operations may include configuration of the machine or implement, reporting of data, control of the machine or implement including sensors and controllers, and storage of the data generated. The display device 1230 may be a display (e.g., display provided by an original equipment manufacturer (OEM)) that displays images and data for a localized view map layer, as-applied liquid or fluid application data, as-planted or as-harvested data, yield data, diagnostics data, data metrics, weed parameters, controls a machine (e.g., planter, tractor, combine, sprayer, etc.), steering the machine, and monitoring the machine or an implement (e.g., planter, combine, sprayer, etc.) that is connected to the machine with sensors and controllers located on the machine or implement. [0077] A cab control module 1270 may include an additional control module for enabling or disabling certain components or devices of the machine or implement. For example, if the user or operator is not able to control the machine or implement using one or more of the display devices, then the cab control module may include switches to shut down or turn off components or devices of the machine or implement.

[0078] The implement 1240 (e.g., planter, cultivator, plough, sprayer, spreader, irrigation, implement, etc.) includes an implement network 150 having multiple networks, a processing system 162 having processing logic 164, a network interface 160, and optional input/output ports 166 for communicating with other systems or devices including the machine 102. The implement network 150 having multiple networks (e.g., Ethernet network, Power over Ethernet (PoE) network, a controller area network (CAN) serial bus protocol network, an ISOBUS network, etc.) may include a pump 156 for pumping liquid or fluid from a storage tank(s) 190 to row units of the implement, communication modules (e.g., 180, 181) for receiving communications from controllers and sensors and transmitting these communications to the machine network. In one example, the communication modules include first and second network devices with network ports. A first network device with a port (e.g., CAN port) of communication module (CM) 180 receives a communication with data from controllers and sensors, this communication is translated or converted from a first protocol into a second protocol for a second network device (e.g., network device with a switched power line coupled with a communications channel , Ethernet), and the second protocol with data is transmitted from a second network port (e.g., Ethernet port) of CM 180 to a second network port of a second network device 113b of the machine network 110. A first network device 113a having first network ports (e.g., 1-4 CAN ports) transmits and receives communications from first network ports of the implement. In one example, the implement network 150 includes nozzles 50, lights 60, vision system 1170 having cameras and processors, and autosteer controller 900 for various embodiments of this present disclosure. The autosteer controller 900 may also be part of the machine network 110 instead of being located on the implement network 150 or in addition to being located on the implement network 150.

[0079] Sensors 152 (e.g., speed sensors, seed sensors (e.g., a single sensor disposed at one or more orientations, a first sensor at a first orientation, first location of a seed passageway and a second sensor at a second orientation, second location of the seed passageway, a sensor array at a first orientation, a sensor array at a second orientation, or a combination of a first sensor array at a first orientation and second sensor array or sensor at a second orientation) for detecting passage of seed, downforce sensors, actuator valves, OEM sensors, flow sensors, etc.), controllers 154 (e.g., drive system for seed meter, GPS receiver), and the processing system 162 control and monitoring operations of the implement.

[0080] The OEM sensors may be moisture sensors or flow sensors for a combine, speed sensors for the machine, seed force sensors for a planter, liquid application sensors for a sprayer, or vacuum, lift, lower sensors for an implement. For example, the controllers may include processors in communication with a plurality of seed sensors. The processors are configured to process data (e.g., liquid application data, seed sensor data) and transmit processed data to the processing system 162 or 120. The controllers and sensors may be used for monitoring motors and drives on a planter including a variable rate drive system for changing plant populations. The controllers and sensors may also provide swath control to shut off individual rows or sections of the planter. The sensors and controllers may sense changes in an electric motor that controls each row of a planter individually. These sensors and controllers may sense seed delivery speeds in a seed tube for each row of a planter.

[0081] The network interface 160 can be a GPS transceiver, a WLAN transceiver (e.g., WiFi), an infrared transceiver, a Bluetooth transceiver, Ethernet, or other interfaces from communications with other devices and systems including the machine 102. The network interface 160 may be integrated with the implement network 150 or separate from the implement network 150 as illustrated in FIG. 9. [0082] The processing system 162 communicates bi-directionally with the implement network 150, network interface 160, and I/O ports 166 via communication links 141-143, respectively. The implement communicates with the machine via wired and possibly also wireless bidirectional communications 104. The implement network 150 may communicate directly with the machine network 110 or via the network interfaces 115 and 160. The implement may also by physically coupled to the machine for agricultural operations (e.g., planting, harvesting, spraying, etc.). The memory 105 may be a machine-accessible non-transitory medium on which is stored one or more sets of instructions (e.g., software 106) embodying any one or more of the methodologies or functions described herein. The software 106 may also reside, completely or at least partially, within the memory 105 and/or within the processing system 1200 during execution thereof by the system 100, the memory and the processing system also constituting machine-accessible storage media. The software 1206 may further be transmitted or received over a network via the network interface 115.

[0083] In one example, the implement 140, 1240 is an autosteered implement comprising a self- propelled implement with an autosteer controller 1120 for controlling traveling of the self- propelled implement. The controllers 154 include a global positioning system to provide GPS coordinates. The vision guidance system 1170 includes at least one camera and a processor. The global positioning system is in communication with the processor, and the processor is in communication with the autosteer controller. The processor is configured to modify the GPS coordinates to a modified GPS coordinates to maintain a desired travel for the self-propelled implement.

[0084] In another example, the machine 102 is an autosteered machine comprising a self- propelled machine with an autosteer controller 1120 for controlling traveling of the self- propelled machine and any implement that is coupled to the machine. The controllers 154 include a global positioning system to provide GPS coordinates. The vision guidance system 1170 includes at least one camera and a processor. The global positioning system is in communication with the processor, and the processor is in communication with the autosteer controller. The processor is configured to modify the GPS coordinates to a modified GPS coordinates to maintain a desired travel for the self-propelled machine. [0085] In another example, a boom actuation system 170 moves a boom arm 22 of the implement between a storage position and a deployed position, and the arm is actuated with the boom actuation system.

[0086] In one embodiment, a machine-accessible non-transitory medium (e.g., memory 105) contains executable computer program instructions which when executed by a data processing system cause the system to perform operations or methods of the present disclosure.

[0087] It will be appreciated that additional components, not shown, may also be part of the system in certain embodiments, and in certain embodiments fewer components than shown in FIG. 8 and FIG. 9 may also be used in a data processing system. It will be appreciated that one or more buses, not shown, may be used to interconnect the various components as is well known in the art.

[0088] Any of the following examples can be combined into a single embodiment or these examples can be separate embodiments. The following are non-limiting examples.

[0089] Example 1 is a computer implemented method comprising receiving, with a graphical user interface, a user input for selecting a parameter for an agricultural data layer having as- applied data being collected from an implement or agricultural vehicle during one or more application passes in a field, determining data values of as-applied data of the agricultural data layer for the selected parameter for a first region of the field having a first application pass for a field view, and determining data values of combined as-applied data of the agricultural data layer for the selected parameter for a second region of the field having two or more application passes for the field view with data values for the first application pass and data values for a second application pass being summed for the second region of the field.

[0090] Example 2 - The computer implemented method of Example 1 , further comprising displaying with the graphical user interface the data values of the as-applied data of the agricultural data layer for the first region of the field and data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0091] Example 3 - The computer implemented method of any of Examples 1-2, further comprising determining an overapplication metric based on an amount of product applied in granular acres and land acres covered during the one or more application passes. [0092] Example 4 - The computer implemented method of any of Examples 1-3, further comprising displaying, with the graphical user interface, the data values of the as-applied data of the agricultural data layer for the first region of the field in a first color and data values of the combined as-applied data of the agricultural data layer for the second region of the field in a second color in the field view.

[0093] Example 5 - The computer implemented method of any of Examples 1 -4, further comprising receiving, with the graphical user interface, a user input for selecting an overapply option to enable displaying of the data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0094] Example 6 - The computer implemented method of any of Examples 1-5, displaying with the graphical user interface a bar graph or histogram to show a percentage of the field or actual acres in the field covered separately per each application pass.

[0095] Example 7 - The computer implemented method of any of Examples 1 -6, wherein the bar graph or histogram shows a number of passes applied to the field.

[0096] Example 8 - The computer implemented method of any of Examples 1 -7, wherein the parameter comprises a seeding parameter including a crop hybrid, a population, a population state, an insecticide or weed and feed parameter, a nitrogen, a starter, or a fungicide parameter. [0097] Example 9 is a system comprising a display device for displaying a user interface having a field view with data values for a parameter for an agricultural data layer for an agricultural field and at least one processor coupled to the display device. The at least one processor is configured to execute instructions to receive, with the user interface, a user input for selecting a parameter for an agricultural data layer having as-applied data being collected from an implement or agricultural vehicle during one or more application passes in a field, to determine data values of as-applied data of the agricultural data layer for the selected parameter for a first region of the field having a first application pass for a field view, and to determine data values of combined as-applied data of the agricultural data layer for the selected parameter for a second region of the field having two or more application passes for the field view with data values for the first application pass and data values for a second application pass being summed for the second region of the field. [0098] Example 10 - The system of Example 9, wherein the display device is configured to display with the user interface the data values of the as-applied data of the agricultural data layer for the first region of the field and data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0099] Example 11 - The system of any of Examples 9-10, wherein the at least one processor is configured to execute instructions to determine an overapplication metric based on an amount of product applied in granular acres and land acres covered during the one or more application passes.

[0100] Example 12 - The system of any of Examples 9-11, wherein the display device is configured to display, with the user interface, the data values of the as-applied data of the agricultural data layer for the first region of the field in a first color and data values of the combined as-applied data of the agricultural data layer for the second region of the field in a second color in the field view.

[0101] Example 13 - The system of any of Examples 9-12, wherein the display device is configured to receive, with the user interface, a user input for selecting an overapply option to enable displaying of the data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0102] Example 14 - The system of any of Examples 9-13, wherein the display device is configured to display with the graphical user interface a bar graph or histogram to show a percentage of the field or actual acres in the field covered separately per each application pass. [0103] Example 15 is a computer implemented method for collecting as-applied data from at least one sensor of an implement or agricultural vehicle during one or more application passes in a field, determining data values of as-applied data of an agricultural data layer for a selected parameter for a first region of the field having a first application pass for a field view, and [0104] determining data values of combined as-applied data of the agricultural data layer for the selected parameter for a second region of the field having two or more application passes for the field view with data values for the first application pass and data values for a second application pass being summed for the second region of the field.

[0105] Example 16 - The computer implemented method of Example 15, further comprising [0106] displaying with a graphical user interface of a display device the data values of the as- applied data of the agricultural data layer for the first region of the field and data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0107] Example 17 - The computer implemented method of any of Examples 15-16, further comprising determining an overapplication metric based on an amount of product applied in granular acres and land acres covered during the one or more application passes.

[0108] Example 18 - The computer implemented method of any of Examples 15-17, further comprising displaying, with a graphical user interface, the data values of the as-applied data of the agricultural data layer for the first region of the field in a first color and data values of the combined as-applied data of the agricultural data layer for the second region of the field in a second color in the field view.

[0109] Example 19 - The computer implemented method of any of Examples 15-18, further comprising receiving, with the graphical user interface, a user input for selecting an overapply option to enable displaying of the data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

[0110] Example 20 - The computer implemented method of any of Examples 15-19,

[OHl] further comprising displaying with the graphical user interface a bar graph or histogram to show a percentage of the field or actual acres in the field covered separately per each application pass.

[0112] It is to be understood that the above description is intended to be illustrative, and not restrictive. Many other embodiments will be apparent to those of skill in the art upon reading and understanding the above description. The scope of the disclosure should, therefore, be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.

Claims

CLAIMS What is claimed is:

1. A computer implemented method comprising: receiving, with a graphical user interface, a user input for selecting a parameter for an agricultural data layer having as-applied data being collected from an implement or agricultural vehicle during one or more application passes in a field; determining data values of as-applied data of the agricultural data layer for the selected parameter for a first region of the field having a first application pass for a field view; and determining data values of combined as-applied data of the agricultural data layer for the selected parameter for a second region of the field having two or more application passes for the field view with data values for the first application pass and data values for a second application pass being summed for the second region of the field.

2. The computer implemented method of claim 1, further comprising: displaying with the graphical user interface the data values of the as-applied data of the agricultural data layer for the first region of the field and data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

3. The computer implemented method of claim 1, further comprising: determining an overapplication metric based on an amount of product applied in granular acres and land acres covered during the one or more application passes.

4. The computer implemented method of claim 1, further comprising: displaying, with the graphical user interface, the data values of the as-applied data of the agricultural data layer for the first region of the field in a first color and data values of the combined as-applied data of the agricultural data layer for the second region of the field in a second color in the field view.

5. The computer implemented method of claim 4, further comprising: receiving, with the graphical user interface, a user input for selecting an overapply option to enable displaying of the data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

6. The computer implemented method of claim 5, further comprising: displaying with the graphical user interface a bar graph or histogram to show a percentage of the field or actual acres in the field covered separately per each application pass.

7. The computer implemented method of claim 6, wherein the bar graph or histogram shows a number of passes applied to the field.

8. The computer implemented method of any preceding claim, wherein the parameter comprises a seeding parameter including a crop hybrid, a population, a population state, an insecticide or weed and feed parameter, a nitrogen, a starter, or a fungicide parameter.

9. A system comprising: a display device for displaying a user interface having a field view with data values for a parameter for an agricultural data layer for an agricultural field; and at least one processor coupled to the display device, the at least one processor is configured to execute instructions to receive, with the user interface, a user input for selecting a parameter for an agricultural data layer having as-applied data being collected from an implement or agricultural vehicle during one or more application passes in a field, to determine data values of as-applied data of the agricultural data layer for the selected parameter for a first region of the field having a first application pass for a field view, and to determine data values of combined as-applied data of the agricultural data layer for the selected parameter for a second region of the field having two or more application passes for the field view with data values for the first application pass and data values for a second application pass being summed for the second region of the field.

10. The system of claim 9, wherein the display device is configured to display with the user interface the data values of the as-applied data of the agricultural data layer for the first region of the field and data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

11. The system of claim 10, wherein the at least one processor is configured to execute instructions to determine an overapplication metric based on an amount of product applied in granular acres and land acres covered during the one or more application passes.

12. The system of claim 11, wherein the display device is configured to display, with the user interface, the data values of the as-applied data of the agricultural data layer for the first region of the field in a first color and data values of the combined as-applied data of the agricultural data layer for the second region of the field in a second color in the field view.

13. The system of claim 12, wherein the display device is configured to receive, with the user interface, a user input for selecting an overapply option to enable displaying of the data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

14. The system of claim 9, wherein the display device is configured to display with a graphical user interface a bar graph or histogram to show a percentage of the field or actual acres in the field covered separately per each application pass.

15. A computer implemented method comprising: collecting as-applied data from at least one sensor of an implement or agricultural vehicle during one or more application passes in a field; determining data values of as-applied data of an agricultural data layer for a selected parameter for a first region of the field having a first application pass for a field view; and determining data values of combined as-applied data of the agricultural data layer for the selected parameter for a second region of the field having two or more application passes for the field view.

16. The computer implemented method of claim 15, further comprising: displaying with a graphical user interface of a display device the data values of the as- applied data of the agricultural data layer for the first region of the field and data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

17. The computer implemented method of claim 15, further comprising: determining an overapplication metric based on an amount of product applied in granular acres and land acres covered during the one or more application passes.

18. The computer implemented method of claim 15, further comprising: displaying, with a graphical user interface, the data values of the as-applied data of the agricultural data layer for the first region of the field in a first color and data values of the combined as-applied data of the agricultural data layer for the second region of the field in a second color in the field view.

19. The computer implemented method of claim 18, further comprising: receiving, with the graphical user interface, a user input for selecting an overapply option to enable displaying of the data values of the combined as-applied data of the agricultural data layer for the second region of the field in the field view.

20. The computer implemented method of claim 19, further comprising: displaying with the graphical user interface a bar graph or histogram to show a percentage of the field or actual acres in the field covered separately per each application pass.