• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
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    • 专利摘要:
    systems and methods for creating prescription maps and plots. the present invention relates to the systems and methods and apparatus for placing a plot in an agricultural field. systems and methods are also provided to select a plot location based on primary and secondary parameters, to select a plot location based on user-defined parameters and to allow a user to accept or reject the proposed plot placement.
    公开号:BR112013031992B1
    申请号:R112013031992-5
    申请日:2012-06-13
    公开日:2020-10-06
    发明作者:Timothy A. Sauder；Justin L. Koch
    申请人:Precision Planting Llc.；
    IPC主号:
    专利说明:

    Cross Reference to Related Orders
    [0001] This application claims the benefit of Provisional Application No. 61 / 496,486, filed on June 13, 2011. Background of the Invention
    [0002] In recent years, farmers and agronomists have increasingly recognized the importance of population (that is, the number of seeds planted per acre) in maximizing yield and profit in growing corn and other crops. There is a similar interest in maximizing the economic benefit of other crop inputs such as nitrogen. Thus, there is a need in the art for systems and methods to vary application rates and to determine the relationship between application rates and yield. Brief Description of Drawings
    [0003] Figure 1 is a top view of a crop planter in rows.
    [0004] Figure 2 is a top view of a row combine harvester.
    [0005] Figure 3 schematically illustrates a modality of a system for collecting, comparing and analyzing plantation and yield data.
    [0006] Figure 4 is a top view of the Figure 1 planter that plants a field that includes a test plot.
    [0007] Figure 5 is a top view of the Figure 2 combine harvester that mows the field and the test plot in Figure 4.
    [0008] Figure 6 is a top view of the Figure 1 planter that plants a field that includes multiple test plots.
    [0009] Figure 7 is a top view of the Figure 1 planter that plants a field that includes test plots side by side in a single pass.
    [00010] Figure 8 is a top view of the Figure 1 planter that plants a field that includes end-to-end test plots in a single pass.
    [00011] Figure 9 is a top view of the Figure 1 planter that plants a field that includes a single test plot planted in multiple passages.
    [00012] Figure 10 illustrates the dimensions and the location of a test plot superimposed on a soil type map of a field.
    [00013] Figure 11 illustrates the dimensions and location of multiple test plots overlaid on a soil type map of a field.
    [00014] Figure 12 illustrates the overlap of two layers of spatially referenced agricultural data.
    [00015] Figure 13 illustrates a modality of a process for placing test plots and analyzing yield data.
    [00016] Figure 14 illustrates a modality of a process for selecting test plot locations.
    [00017] Figure 15 illustrates a modality of a process for analyzing test plot yield results.
    [00018] Figure 16 illustrates a modality of a user interface screen for entering the user input.
    [00019] Figure 17 illustrates a modality of a display screen for displaying the location of a test plot during harvesting operations.
    [00020] Figure 18 illustrates a modality of a display screen for displaying plot settings within a field boundary. description Field Data Collection System
    [00021] Referring now to the drawings, in which equal reference numerals designate identical or corresponding parts across all the different views, Figure 1 illustrates a top view of a tractor 5 pulling a planter 10 used to plant crops in rows. Planter 10 includes a frame 12, in which a toolbar 14 extends transversely as a mounting structure for row units 16, each of which is configured to plant seeds in a row as is known in the art. Each row unit 16 is preferably configured to plant at variable population rates (ie, number of seeds per acre) as disclosed in US Patent No. 6,863,006, the disclosure of which is hereby incorporated into this document at entirely as a reference. Planter 10 preferably includes one or more actuators 427 (Figure 3), such as hydraulic or electric actuators as are known in the art, to vary the rate of planted population for each row unit 16 or a group of row units. Planter 10 additionally and preferably includes one or more clutches 425 (Figure 3) to engage and disengage the drivers to stop or resume planting in each row unit 16 or row unit group. Planter 10 additionally and preferably includes one or more seed sensors 420 (Figure 3) to detect the seed deposit time as well as the planted population rate for each row unit 16. In some embodiments, the seed sensors 420 comprise optical type sensors such as those disclosed in US Patent No. 5,936,234. The population rate is preferably controlled by a planter monitor mounted in booth 50, which preferably incorporates a graphical user interface 55, as disclosed in Applicant's copending patent application No. US 12 / 522,252, which is incorporated through this in this document in its entirety as a reference. A global positioning system ("GPS") device 52 is preferably mounted on the tractor and in electrical communication with the planter monitor 50 to transmit the current global location of the tractor 5 to the planter monitor 50.
    [00022] In operation, planter monitor 50 can be provided with a prescription map file that indicates the population rate to be planted at each global location in a field. As the planter traverses the field, planter monitor 50 commands row unit 16 to plant at the population rate that corresponds to the global location currently indicated by GPS 52. Simultaneously, seed sensors 420 report the deposit of each seed for the planter monitor 50 and the planter monitor preferably record the location of each seed and calculate the actual prescription rate for each location in the field.
    [00023] Figure 2 illustrates a top view of a combine harvester 70, such as that illustrated in U.S. Patent No. 6,226,969, including a harvester 77 for harvesting crops. The combine harvester 70 preferably includes a yield sensor 440 (Figure 3) to measure the almost instant quantity of the harvest being harvested. The yield sensor 440 preferably comprises a sensor configured to measure the flow or quantity of grain being harvested, such as an impact type sensor as disclosed in US Patent No. 5,561,250 or other types of yield sensors as disclosed in the Order Applicant's Copending Provisional Patent No. US 61 / 644,367, both disclosures of which are hereby incorporated into this document as a reference in their entirety. Yield sensor 440 is in electrical communication with a yield monitor mounted in booth 72 that preferably incorporates a graphical user interface, such as that disclosed in Applicant's interim Patent Application No. 61 / 644.367, previously incorporated by way of of reference. The performance monitor 72 is preferably configured to calculate a performance measurement using a signal from the performance sensor 440 and to display and record the resulting performance measurement. A GPS device 75 mounted on the combine harvester 70 is in electrical communication with the yield monitor 72.
    [00024] In operation, yield sensor 440 measures the flow rate or the amount of clean grain separated from the harvest after being sucked through the head 77. The yield sensor 440 then transmits the resulting yield measurement to the monitor yield 72. Simultaneously, the GPS device 75 transmits a current global location from the combine to the yield monitor 72. The yield monitor 72 preferably displays and records the yield measurement and the associated global location. As a result, a spatial map of yield measurements in the field being harvested can be displayed to the user in the field and is preferably stored for later use.
    [00025] A 400 system for collecting, comparing and analyzing yield and planting data obtained as described above is illustrated in Figure 3. Combine harvester GPS device 75 is in electrical communication with yield monitor 72. The yield monitor 72 is preferably in electrical communication with yield sensor 440. Planter GPS device 52 is in electrical communication with planter monitor 50. Planter monitor 50 is preferably in electrical communication with one or more clutches 425, actuators 427 and seed sensors 420. Both monitors 50.72 communicate data to a computer 450 via one or more data transfer devices 460. Computer 450 is preferably configured to correlate planting data with yield data for each location in the field and to perform the analysis of the same data as described further in this document. In some embodiments, the yield monitor 72 and the planter monitor 50 may be the same unit that contains the software to serve both as a planter monitor and as a yield monitor and that has the features and functionality as described above. In other modalities, the functions performed by the computer 450 are performed by the monitors 72,50, eliminating the need for any data transfer device 460.
    [00026] In some embodiments, computer 450 is still in data communication (such as, for example, over an Internet connection) with a server 430. In such embodiments, computer 450 and other 450-1 computers operated by others Users can transmit the planting and harvesting data to the 430 server. The same data is preferably retrieved by computer 450 for use in comparing results between fields. Mowing and Plot Creation
    [00027] Referring to Figure 4, a planter 10 as described above is illustrated in planting operations in a field 100, resulting in a planted area 190. Planter 10 plants field 100 at a primary population rate indicated by the numeral reference 110. The primary population rate 110 is a base rate that the user has determined is desirable for field 100. As an example, a primary population rate for planting corn can be 30,000 seeds per acre. The user is preferably allowed to experience the income results of a different population by planting at a secondary population rate indicated by the reference numeral 120 on a plot 160 within the same field. As an example, a secondary population rate for planting corn can be 32,000 seeds per acre.
    [00028] In order to generate the plot 160 in which the secondary population rate 120 is planted as shown in Figure 4, the planter monitor 50 (Figure 1) preferentially changes the commanded population rate to the secondary population rate 120 when GPS device 52 reports that it has reached a first limit 162. Monitor 50 then changes the commanded population rate back to primary population rate 110 when GPS device 52 reports that it has reached a second limit 164.
    [00029] As shown in Figure 5, a combine harvester 70 as described above is illustrated by mowing field 100 that was provided with plot 160. The area not planted but mowed is indicated by reference numeral 195. It should be appreciated that a single yield sensor 440 typically measures the rate or amount of grain that is mowed through the entire collector 77 (Figure 2). Thus, when the combine harvester crosses limit 164 and begins to mow parcel 160, collector 77 is preferably aligned to mow only parcel 160. In this way, when examining the collected yield data, it is possible to distinguish between the yield results for the primary population rate 110 and the secondary population rate 120.
    [00030] The results of several methods of placing multiple plots in a single field 100 are illustrated in Figures 6 to 8. In Figure 6, the method used to plant plot 160 is repeated at a different location in the field in order to generate a second installment 170 in which a tertiary population rate indicated by reference number 122 is implanted. In Figure 7, planter 10 generates two plots side by side 160 and 170 in which population rates 120 and 122 are implemented respectively. Plots side by side in Figure 7 are generated by varying the population rate commanded for individual row units 16 or groups of them through toolbar 14. In order to carry out this method, a separately controlled driver is provided to row units 16 or groups thereof as described in US Patent No. 6,070,539, which is hereby incorporated by reference in this document in its entirety. When generating such plots side by side, planter 10 is preferably allowed to plant an intermediate area 165 planted at the primary population rate 110 between plots 160, 170. In Figure 8, a main plot 150 that includes multiple plots from end to end end 160, 170, 169, 165 and 166 in which population rates 120, 122, 124, 110 and 126 are planted respectively. This method is performed by changing the rate of population commanded between each plot. As shown in Figure 8, planter monitor 50 changes the command rate directly between non-primary population rates (such as between, for example, plots 169 and 170). In addition, planter monitor 50 commands primary rate 110 in an intermediate area 165 between non-primary population rates (such as, for example, plots 169 and 166).
    [00031] As shown in Figure 9, planter 10 is allowed to plant a single plot using multiple passages. A plot 160 that has the secondary population rate 120 can be planted in two sections of plot 160-1, 160-2. The commanded population rate for a group of left row units 16 is changed by crossing an upper boundary of plot 160 in order to plant the first section of plot 160-1. Likewise, the population rate commanded for the same group or a different group of left row units 16 is preferably changed when crossing a lower limit of plot 160 in order to plant the second section of plot 160-2. Plot Location and Size
    [00032] Multiple factors affect the preferred size and placement of each plot 160. Referring to Figure 10, each plot 160 preferably has a critical area A in order to obtain the results by harvesting which has the desired statistical significance. As illustrated, parcel 160 has a length L along the planting direction and harvest path and a transverse width W. The width W is preferably a multiple of the width of the combine harvester 77 such that the combine harvester 70 can mow the entire plot 160 without simultaneously sucking the crops planted at the primary population rate. In addition, the desired minimum length L depends in part on the resolution of the combine's yield sensor. That is, different styles or models of yield sensors have varying ability to determine whether flow rates or quantities of grain measured close to the front and rear limits of the plot are associated with the plot area or an adjacent area. Where this effect is most significant, longer portion lengths L are preferred.
    [00033] The desired location of the plot is preferably determined in part by the types of soil or the productivity of soil across the field. Field 100 in Figure 10 includes regions that have soil types indicated by reference numerals 414, 410 and 412. As illustrated, parcel 160 is placed preferably in the predominant soil type 410 of field 100 (that is, the one present in most field area). The plot 160 is preferably placed in such a way that the plot is at a minimum distance D2 from any type of soil other than the soil type of the plot. It must be appreciated that the preferred minimum distance D2 depends on the resolution of the performance sensor. Likewise, parcel 160 is preferably placed in such a way that the parcel is at a minimum distance D1 from any field or channel boundary.
    [00034] Referring to Figure 11, the plot format can be varied in order to generate a plot that has the desired size and location. The field in Figure 11 includes soil types 410, 412 and 414, among which soil type 410 is predominant as illustrated. In order to plant two plots that have the desired critical area A within the predominant soil type 410, a first plot 170 that has a length L1 and a width W1 is planted together with a second plot 160 that has a length L2 and a width W2. Automatic Plot Analysis and Placement Methods
    [00035] A process 300 of placing plots in a field during planting is illustrated in Figure 13. In step 302, planter monitor 50 preferably prompts the user to enter GPS shifts for the planter, that is, the direction of path and transverse displacements between the GPS 52 device and each planter row unit. In step 305, monitor 50 preferably prompts the user to provide a set of plot selection parameters and a set of deployment characteristics. In order to carry out this step, the planter monitor preferably displays a 1400 screen to receive user input as shown in Figure 16 in the graphical user interface 55. In order to enter the implantation characteristics, the 1400 screen preferably includes a 1410 interface to enter the width (or number and row spacing) of the combine harvester head to be used in the harvest and the width (or number and row spacing) of the controlled sections regardless of the planter to be used in the plantation, a 1450 interface to select the type of crop to be planted and a 1440 interface to select the type and model of the yield sensor to be used in the harvest. In order to enter the selection parameters, screen 1400 preferably includes a 1420 interface to enter the amount of variation in the desired population and a 1430 interface to enter the percentage of the area in acres of field that must be placed in plots. In other modalities, the 1430 interface allows the user to select the ratio between the total acreage of the plots within a base rate zone (Figure 18) and the acreage area of the base rate zone.
    [00036] The interface 1420 preferably allows the user to define a maximum prescription variation 1424 and a minimum prescription variation 1422. In some modalities, the interface 1420 also allows the user to select a preferred statistical variation (for example, a standard deviation ) of the prescription values of the installment. It should be appreciated that some plot selection parameters comprise user risk preferences since the amount of area in acres placed in plots and the variation in the population of the plots represent a part of the economic risk taken by the user in order to learn the optimal population in future seasons. It should be appreciated that user interfaces may comprise text entry boxes, drop-down menus or ranges of variation as shown in Figure 16 or any other suitable interfaces as are known in the art.
    [00037] Returning to Figure 13, in step 310, the planter monitor 50 determines preferably a set of plot characteristics that includes the location of the plots, the size of the plots and the population rates to be planted within the plots. A preferred process for performing step 310 in Figure 13 is illustrated in detail in Figure 14. In performing the process steps in Figure 14, planter monitor 50 preferably displays a plot 1800 placement screen as shown in Figure 18. In In step 1902, planter monitor 50 preferably identifies a 1805 field boundary. In some embodiments, the 1805 field boundary is accessed from a file containing global positioning vertices recorded by the user by activating the field boundary with a GPS device as is known in the art. In other modalities, the 1805 field boundary is accessed in a file containing the global positioning vertices entered by the user, for example, by drawing a boundary around an aerial image of the field as is known in the art. In step 1905, planter monitor 50 preferentially identifies base rate zones 1810 within the field boundary 1805. In Figure 18, two base rate zones 1810-1, 1810-2 were identified, separated by a base rate limit 1820. Base rate zones 1810 are preferably those regions where the same base population rate is desired. In some embodiments, base rate zones 1810 are identified by accessing a USDA soil type map that includes soil type polygons (for example, as disclosed in Applicant's copending PCT Application No. PCT / US11 / 68219, which it is hereby incorporated into this document in its entirety for reference and determining the geometric unions between the field boundary and one or more polygons of soil type. In other modalities, the base rate zones 1810 comprise any region in which certain spatial characteristics of the field (for example, soil type, drainage and elevation resources) are common. In step 1910, planter monitor 50 preferably allows the user to define population rates in base rate zones 1810.
    [00038] Continuing to refer to Figure 14, in step 1915, planter monitor 50 preferably identifies a valid parcel placement region 1830 within each base rate zone 1810. As illustrated in Figure 18, the placement regions valid portions 1830-1, 1830-2 are identified as separate regions from the field limit 1830 and the base rate limit 1820 by a certain minimum distance or minimum distances, such minimum distances are determined preferably as discussed in the present document in relation to the Figure 10.
    [00039] Continuing to refer to Figure 14, in step 1915, planter monitor 50 preferably determines the plot dimensions based on the implantation characteristics entered by the user in step 305 of process 300. This determination is preferably made as discussed in present document in relation to Figure 10. In step 1925, planter monitor 50 preferably places parcels 1850 (Figure 18) within the valid parcel placement regions 1830. Plot placement preferably meets the parcel selection parameters entered by user in step 305 of process 300. For example, the ratio between a total area of the 1850 plots and a total area of the 1805 field boundary is preferably equal to the ratio selected by the user using the 1430 interface of the 1400 screen (Figure 16) . Placement placement preferably satisfies a set of placement rule plots preferably pre-loaded into the planter monitor's memory 50. For example, placement rule plots preferably require a minimum number of adjacent base rate cells 1852 that have a minimum area . In some modalities, the minimum number is three and the minimum area is the same as the 1850 plot area, resulting in the "checkerboard" pattern illustrated in Figure 18. In other modalities, the placement rule plots can acquire the maximum distance possible between the 1850 plots while still satisfying the acreage of the desired total plot.
    [00040] Continuing to refer to Figure 14, in step 1930, planter monitor 50 preferably selects the installment rates to satisfy the distribution preferences entered by the user in step 305 of process 300. In step 1935, the monitor planter 50 preferably displays the proposed plot placement to the user and requests user approval for the plot placement, for example, by displaying an 1890 interface (Figure 18). In step 1940, if the proposed parcel placement was rejected, then, in step 1945, planter monitor 50 preferably allows the user to reject individual unwanted parcels and then repeat steps 1925 to 1935 without placing a nearby parcel to the rejected location. Once the proposed plot placement is accepted, planter monitor 50 saves a prescription map that includes the proposed plot placement in step 1950.
    [00041] In some modalities of the process illustrated in Figure 14, planter monitor 50 randomly selected from the potential plot areas, displays the random selection to the user and allows the user to reject individual plot areas or reject the entire map and request a different randomized set of plots.
    [00042] Returning to Figure 13, once the planned plot locations have been defined, planter 10 preferably begins planting at the primary population rate (for example, rate 110 in Figure 4) at step 317. At step 320 , upon meeting the plot limit (for example, the limit 162 in Figure 4), the planter monitor 50 commands the rows that cross the limit to plant in the population rate plot (for example, the rate 120 in Figure 4) . In step 322, planter monitor 50 preferably displays a notification to the user that the parcel population rate has been activated. The notification can comprise a map that indicates the plot locations and the current planter location or an alarm window. It should be appreciated that such notification is preferred because most planter monitors continuously display the currently active population rate to the user and an unexplained change in population during planting could be confusing to the user. The planter monitor 50 can also allow the user to replace the plot during planting, for example, instructing the planter monitor 50 to command the primary population rate despite the previously planned plot.
    [00043] In step 330, upon leaving the plot area (for example, crossing the limit 164 in Figure 4), the planter monitor 50 again controls the primary population rate. In step 335, planter monitor 50 preferably displays a notification to the user that the plot area has been left. If planter monitor 50 determines in block 337 that the entire plot has not been completed, then steps 320 to 335 are repeated each time the planter passes through another section of the plot (for example, section 160-2 in Figure 9) . Once the planter monitor 50 de-terminates that the entire plot has been completed, in step 340, planter monitor 50 preferably checks and stores the location of the completed plot.
    [00044] Continuing the reference to Figure 13, in step 341, the yield monitor 72 preferably prompts the user to insert the GPS deviations associated with the combine, that is, the direction and cross direction deviations between the GPS device 75 and the combine harvester row unit. During harvesting in step 342, yield monitor 72 preferably alerts the user about the misalignment of the combine harvester head 77 with each parcel so that the head does not harvest outside the parcel area together with crops planted at the base rate rate or other taxes. This step can be performed using a 1700 head correction screen as shown in Figure 17. The 1700 head correction screen preferably includes a 1710 map that illustrates the alignment of head 77 with portion 160 and a visual indicator 1720 that indicates the direction of any required correction and preferably the amount of correction expressed in an entire number of rows.
    [00045] Returning to Figure 13, in step 345, the yield monitor 72 records the harvested yield for each location in the field. In step 350, computer 450 (see system 400 in Figure 3) analyzes yield results by comparison with yield within the plot area with yield in other areas in the same field or other fields. Computer 450 overlays and compares population rates to income for corresponding locations in the field. For example, as shown in Figure 12, computer 450 compares the population rate A in the planting map layer 502 to the corresponding yield B in the yield map layer 504.
    [00046] A preferred process for performing step 350 of Figure 13 is illustrated in Figure 15. In step 351, computer 450 preferably classifies the prescription by yield at each location in the field. For example, of a main plot 150 that was planted as shown in Figure 8, computer 450 could classify each population rate according to the resulting yield. A similar analysis is preferably carried out where a set of plots side by side was placed as shown in Figure 7. In step 353, computer 450 preferably determines an average yield for all locations in the field at each population rate. Thus, an average yield is determined for each set of plots in which a given population rate plot was planted, as well as for the primary population rate. In step 354, computer 450 preferably classifies population rates according to their average yield across the field. In step 355, computer 450 preferably obtains population rates and yield results for the same soil type from different updated fields from different computers 450-1 (see the discussion regarding system 400 in Figure 3) and determines a average yield for each population rate across multiple fields. In step 356, computer 450 preferably classifies population rates by average income for each field from which data was obtained in step 355.
    [00047] In some deployments, comparisons between the yields obtained from various population rates are performed by seasons. For example, the yields obtained from a given population rate for a particular field are preferably averaged with income for the same population and field rate from previous years before comparison with other population rates.
    [00048] Returning to Figure 13, in step 360, computer 450 generates a new prescription recommendation based on the yield analysis performed in step 350. For example, a new primary population rate may be recommended based on the rate of population classified as first for the whole field. In addition, the variable population rate by location can be recommended where different population rates were ranked first in different areas of the field.
    [00049] Although the systems and methods disclosed in this document are illustrated and described in relation to the rate at which seeds are planted, in other modalities, the same systems and methods must be applied to other crop inputs using application deployments variable other than the planters. For example, in some embodiments, the rate at which the liquid fertilizer is applied using a variable rate application system is varied and the resulting yields are obtained after harvesting using the methods presented in this document. In other modalities, a system for planting different varieties of seed during planting (for example, those systems disclosed in US Patents No. 5,915,313 and 7,418,908, which are incorporated into the present in its entirety for reference) it could be used to plant plots of different varieties using the methods presented in this document.
    [00050] The foregoing description is presented to enable one skilled in the art to produce and use the invention and is provided in the context of a patent application and its requirements. Various modifications to the preferred mode of the apparatus and to the general principles and resources of the system and methods described in this document will be readily apparent to those skilled in the art. Thus, the present invention should not be limited to the modalities of the apparatus, system and methods described above and illustrated in the drawing figures, but must be in accordance with the broader scope consistent with the spirit and scope of the appended claims.
    权利要求:
    Claims (22)
    [0001]
    1. Method for generating a plot (1850) in a field using a variable application deployment characterized by the fact that it comprises: notifying a user to insert a user entry, the said entry defining a preferred plot parameter that it can be satisfied by multiple alternative installment limits; identify a field boundary (1805); identifying a base rate zone (1810) within said field boundary (1805), said base rate zone (1810) defining an area in which the primary application rate should be applied; determine a potential first installment, the first potential installment having a first installment location, the first potential installment being within the said base rate zone (1810), with the first potential installment having a first installment limit that satisfies the said parameter of preferential portion to generate a first prescription map, and said first prescription map includes said first potential portion; display said first prescription map to said user; generate a second prescription map, the second prescription map having a second location of a different parcel from the said first parcel location, the second potential parcel being located within the said base rate zone (1810), with the second potential installment has a second installment limit that satisfies the said preferred installment parameter; display said second prescription map to said user; said user selecting one from said first prescription map and said second prescription map; and associate a secondary application rate with said selected potential share, the secondary application rate being different from the said primary application rate.
    [0002]
    2. Method, according to claim 1, characterized by the fact that it also includes: controlling an application rate based on said second prescription map.
    [0003]
    3. Method, according to claim 2, characterized by the fact that it also includes: displaying a location of said second potential parcel during harvesting.
    [0004]
    4. Method, according to claim 1, characterized by the fact that the dimensions of said selected potential portion are based on said user input.
    [0005]
    5. Method, according to claim 4, characterized by the fact that said user input includes characteristics of implantation of the equipment to be used in the field harvesting.
    [0006]
    6. Method, according to claim 4, characterized by the fact that said user input includes a width or number of rows of a combine harvester header (70) to be used in the field harvesting.
    [0007]
    7. Method, according to claim 1, characterized by the fact that the location of said selected potential portion is based on said user input.
    [0008]
    8. Method according to claim 7, characterized by the fact that said user input includes a user risk preference.
    [0009]
    9. Method, according to claim 7, characterized by the fact that said user input includes a fraction of area in acres within the field boundary (1805) to be placed in plots (1850).
    [0010]
    10. Method, according to claim 1, characterized by the fact that it also includes: accepting a second user entry, in which said secondary application fee is based on said second user entry and on which said second user entry user defines a desired distribution in the application rates.
    [0011]
    11. Method, according to claim 10, characterized by the fact that said desired distribution in the application rates can be satisfied by multiple rates of secondary applications and in which the said step of associating a secondary application rate with said portion selected potential includes selecting a secondary application rate that satisfies the will say distribution in the application rates.
    [0012]
    12. Method for generating a seed population prescription map that includes multiple base rate zones and multiple plots within each base rate zone (1810), characterized by the fact that said method comprises: identifying a field boundary ( 1805); identifying multiple base rate zones within said field boundary (1805), each said base rate zone (1810) defining an area in which a primary application rate should be applied; designate a base population rate for each base rate zone (1810); identify valid parcel placement regions within each base rate zone (1810) based on a first placement rule; determine plot dimensions based on a first user input, the first user input being selected from a group comprising one of a desired plot dimension and a desired fraction of acreage to be placed in plots ; determining a first plurality of parcels within said valid parcel placement regions based on a second user entry, the first plurality of parcels satisfying a second placement rule, the second placement rule of which can be satisfied by multiple pluralities of alternative plots; determining a second plurality of parcels within said valid parcel placement regions based on said second user entry, the second plurality of parcels satisfying said second placement rule being that a user selects one from said first plurality of parcels plots and said second plurality of plots as a selected plurality of plots; and generate a prescription map that includes the said plurality of parcels selected.
    [0013]
    13. Method, according to claim 12, characterized by the fact that said first placement rule requires a minimum distance between the limits of the base rate zones and the parcels.
    [0014]
    14. Method according to claim 12, characterized in that said first user input comprises a width or number of rows of a combine harvester header (70) to be used in the mowing of a field planted in accordance with said prescription map.
    [0015]
    15. Method, according to claim 12, characterized by the fact that said second user input comprises a desired ratio between an area of a group of parcels in a region that encloses said groups of parcels.
    [0016]
    16. Method, according to claim 12, characterized by the fact that said second placement rule requires a minimum number of base rate cells adjacent to each plot, said base rate cells having a minimum area.
    [0017]
    17. Method, according to claim 12, characterized by the fact that it also includes: determining population rates within each plot based on a third user input.
    [0018]
    18. Method, according to claim 17, characterized by the fact that said third user input defines a desired distribution of population rates, and said desired distribution can be satisfied by multiple alternative sets of population rates .
    [0019]
    19. Method, according to claim 17, characterized by the fact that it also includes: advising a user to accept or reject a parcel location; and changing said parcel location based on a user rejection.
    [0020]
    20. Method for generating a field that includes multiple base rate zones and multiple plots within each base rate zone (1810), characterized by the fact that said method comprises: (a) generating a prescription map in accordance with following steps: (i) identify a field boundary (1805); (ii) identifying multiple base rate zones within said field limit (1805); (iii) designate a base population rate for each base rate zone (1810); (iv) to identify the parcel placement regions valid within each base rate zone (1810) based on a first placement rule; (v) determine the parcel dimensions that satisfy a preferred parcel parameter defined by a first entry, and said preferred parcel parameter can be satisfied by multiple parcel dimensions; (vi) determine the parcel locations within said valid parcel placement regions in order to satisfy a second placement rule that requires a minimum distance between each parcel location and another resource of said prescription map; and (vii) to associate population rates with each plot location in order to generate a set of plot populations that satisfy a preferential distribution of population rates, and said preferential distribution is defined by a third user input, being whereas the preferential distribution can be satisfied by multiple alternative sets of parcel populations; (b) controlling the population rate of a planter (10) in accordance with said prescription map; and (c) displaying a location of at least one of the plots in the field during field harvesting.
    [0021]
    21. Method, according to claim 20, characterized by the fact that it also includes: (d) alerting a user to align a combine harvester collector (70) with at least one of the plots during the field harvest.
    [0022]
    22. Method, according to claim 20, characterized by the fact that it also includes: (e) recording a yield value at each location in the field during field harvesting; and (f) comparing a yield value within at least one of the base rate zones to a yield value within at least one of the plots.
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    公开号 | 公开日 | 专利标题
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    法律状态:
    2018-12-11| B06F| Objections, documents and/or translations needed after an examination request according [chapter 6.6 patent gazette]|
    2019-12-03| B06U| Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]|
    2020-05-12| B09A| Decision: intention to grant [chapter 9.1 patent gazette]|
    2020-10-06| B16A| Patent or certificate of addition of invention granted|Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 13/06/2012, OBSERVADAS AS CONDICOES LEGAIS. |
    2021-04-20| B25A| Requested transfer of rights approved|Owner name: THE CLIMATE CORPORATION (US) |
    优先权:
    申请号 | 申请日 | 专利标题
    US201161496486P| true| 2011-06-13|2011-06-13|
    US61/496,486|2011-06-13|
    PCT/US2012/042281|WO2012174134A1|2011-06-13|2012-06-13|Systems and methods for creating prescription maps and plots|
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