US20120253760A1 - Pass predictor for agricultural harvesting machines - Google Patents

Pass predictor for agricultural harvesting machines Download PDF

Info

Publication number
US20120253760A1
US20120253760A1 US13/429,655 US201213429655A US2012253760A1 US 20120253760 A1 US20120253760 A1 US 20120253760A1 US 201213429655 A US201213429655 A US 201213429655A US 2012253760 A1 US2012253760 A1 US 2012253760A1
Authority
US
United States
Prior art keywords
passes
pass
harvesting machine
crop
predicted
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US13/429,655
Inventor
Roger R. Zielke
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
AG Leader Technology Inc
Original Assignee
AG Leader Technology Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by AG Leader Technology Inc filed Critical AG Leader Technology Inc
Priority to US13/429,655 priority Critical patent/US20120253760A1/en
Assigned to AG LEADER TECHNOLOGY reassignment AG LEADER TECHNOLOGY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ZIELKE, Roger R.
Publication of US20120253760A1 publication Critical patent/US20120253760A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01DHARVESTING; MOWING
    • A01D41/00Combines, i.e. harvesters or mowers combined with threshing devices
    • A01D41/12Details of combines
    • A01D41/127Control or measuring arrangements specially adapted for combines
    • A01D41/1275Control or measuring arrangements specially adapted for combines for the level of grain in grain tanks
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01DHARVESTING; MOWING
    • A01D41/00Combines, i.e. harvesters or mowers combined with threshing devices
    • A01D41/12Details of combines
    • A01D41/127Control or measuring arrangements specially adapted for combines

Definitions

  • the present invention relates to agricultural harvesting machines. More particularly, the present invention relates to pass prediction for agricultural harvesting machines.
  • FIG. 1 is an example of a grain cart unloading a combine on-the-go.
  • FIG. 1 illustrates a field 10 . Within the field 10 there is an unharvested area 12 and a harvested area. A harvesting machine or combine 16 with a grain tank 18 is shown which is unloading grain into a grain cart 22 being pulled by a tractor 20 . One way to keep combines harvesting is to predict the passes the combine can complete without unloading its grain tank.
  • the passes a combine can complete without unloading will vary throughout the course of harvesting a field.
  • a combine operator can harvest passes in the most efficient order if the operator knows the passes that can and cannot be fully completed. For example, if the operator knows the combine will have to be unloaded midway through a long pass and the grain cart will not make it back before the combine's tank fills; the operator may choose to harvest shorter passes. Shorter passes take more time to harvest because of frequent turns, which gives the grain cart more time to get back to the combine. This makes better use of the combine's time compared to waiting for the grain cart in a longer pass.
  • FIG. 2 shows a combine 16 starting a new land within a field. Notice the un-harvested crop 12 on both sides of the machine. Combine operators need to pick a pass they know they can make all the way through when opening a land. If the combine gets full before the end of the pass, the combine will have to waste time backing up to the beginning of the pass to unload.
  • U.S. Pat. No. 6,216,071 discloses a control system that determines an expected time and location at which harvested crop will reach a predetermined desired level in a combine tank.
  • U.S. Pat. No. 7,756,624 discloses using expected crop material yield to determine the expected unloading point or unloading point in time or remaining distance at which the crop material quantity must be unloaded from the combine. What is needed is a method for determining expected crop yield or how to predict which passes the combine can harvest without unloading. Knowing remaining distance and expected time is useful to a combine operator but it does not resolve the problem of which passes can be completed without unloading.
  • a further object, feature, or advantage is to determine whether a particular pass within a field can be completed before the combine tank becomes full and needs unloading.
  • a still further object, feature, or advantage of the present invention is to determine where a pass begins and ends.
  • a method of predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine.
  • the method includes determining a reference pass to use, the reference pass having a reference pass amount of crop and determining an amount of crop in the grain tank of the harvesting machine.
  • the method further includes calculating a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop within the grain tank of the harvesting machine, and the amount of crop associated with the reference pass.
  • the method further includes displaying the number of predicted passes on a display associated with the harvesting machine.
  • a system for predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine.
  • the system includes an intelligent control, a global positioning system receiver operatively connected to the intelligent control, a memory operatively connected to the intelligent control, the memory adapted to store previous pass information including amount of crop, and a display operatively connected to the intelligent control.
  • the intelligent control is configured to perform steps of (1) determining a reference pass from the previous pass information, the reference pass having a reference pass amount of crop, (2) determining an amount of crop in the grain tank of the harvesting machine, (3) calculating a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop in the grain tank of the harvesting machine, and the reference pass amount of crop.
  • the display is configured to display the number of predicted passes.
  • a method of predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine.
  • the method includes determining a reference pass, the reference pass having a reference pass amount of crop, a reference pass distance, and a reference pass spatial location.
  • the method further includes determining an amount of crop in the grain tank of the harvesting machine.
  • the method further includes calculating (a) a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop in the grain tank of the harvesting machine, and the reference pass amount of crop, (b) a predicted distance from the number of predicted passes and the reference pass distance, and (c) a displayed predicted passes from a harvested distance, the predicted distance, and the number of predicted passes.
  • the method also provides for displaying the displayed predicted passes on a display associated with the harvesting machine.
  • a system for predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine includes an intelligent control, a global positioning system receiver operatively connected to the intelligent control, a memory operatively connected to the intelligent control, the memory adapted to store previous pass information including amount of crop, pass distance and spatial location for each previous pass, and a display operatively connected to the intelligent control.
  • the intelligent control is configured to perform steps of (1) determining a reference pass from the previous pass information, the reference pass having a reference pass amount of crop, a reference pass distance, and a reference pass spatial location, (2) determining an amount of crop in the grain tank of the harvesting machine, (3) calculating (a) a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop in the grain tank of the harvesting machine, and the reference pass amount of crop, (b) a predicted distance from the number of predicted passes and the reference pass distance, and (c) a displayed predicted passes from a harvested distance, the predicted distance, and the number of predicted passes.
  • the display is configured to display the displayed predicted passes.
  • FIG. 1 illustrates a harvesting machine unloading into a grain cart in a field.
  • FIG. 2 illustrates a harvesting machine cutting a land in a field.
  • FIG. 3 is a flow diagram illustrating one example of a method for predicting the number of passes that can be harvested before a harvester tank becomes full.
  • FIG. 4 illustrates an example of a harvesting machine traveling through a field.
  • FIG. 5 is a diagram of one example of a system for performing pass prediction.
  • FIG. 6 is one example of a screen display for conveying predicted pass information to a user.
  • the present invention provides for predicting the number of passes that can be harvested before a harvester tank (or grain tank) becomes full, or whether a particular pass can be completed before harvester tank must be unloaded.
  • the number of predicted passes can be calculated based on the capacity of the grain tank of the harvesting machine, the amount of crop within the grain tank, and the amount of crop associated with a reference pass.
  • FIG. 3 illustrates one example of a method used for predicting the number of passes that can be harvested before a harvester tank becomes full.
  • the number of predicted passes is determined by:
  • PREDICTED PASSES (TOTAL AMOUNT OF CROP THAT HARVESTER TANK HOLDS ⁇ CURRENT AMOUNT OF CROP IN HARVESTER TANK)/AMOUNT OF CROP IN REFERENCE PASS
  • this result may be displayed to a user to indicate a number of predicted passes.
  • additional steps 32 , 34 , 36 may be performed.
  • step 32 a predicted distance of travel is determined by:
  • PREDICTED DISTANCE PREDICTED PASSES ⁇ DISTANCE OF REFERENCE PASS
  • step 34 the harvested distance is set to zero.
  • step 36 the number of predicted passes which may be displayed is calculated.
  • the displayed predicted passes may be determined as follows:
  • step 38 After the number of displayed predicted passes has been calculated in step 38 a determination is made as to whether crop is unloaded from the harvester tank. If it is, then the process returns to step 30 and the number of predicted passes is re-calculated. If not, then in step 40 , a determination is made as to whether a different reference pass is selected. If it is, then the process returns to step 30 and the number of predicted passes is re-calculated. If not, the process returns to step 36 and the displayed predicted passes is recalculated.
  • Steps 32 , 34 , and 36 are optional. These steps allow the system to factor out variation in yield throughout the pass as the combine harvests. Including these steps eliminates inflated or deflated pass prediction while harvesting higher or lower yielding parts of the pass.
  • a reference pass may be used.
  • the system may store the total amount of crop, total distance, and spatial location of every harvested pass within the field. This information may be used in predicting whether other passes may be completed without unloading the harvester tank.
  • FIG. 4 illustrates one example of a harvesting machine 16 as it is making a pass through a field. Note that the field shown includes a harvested area 14 and unharvested area 12 .
  • FIG. 5 illustrates one example of a system that predicts the number of passes that can be harvested until the harvester tank becomes full.
  • an intelligent control 52 is shown which may be a microcontroller, microprocessor, or other type of intelligent control.
  • a memory 54 is operatively connected to the intelligent control 52 .
  • the memory 54 is a machine readable storage medium on which information such as the total amount of crop, total distance and spatial location of every harvested pass within the field may be stored.
  • a Global Positioning System (GPS) receiver may be operatively connected to the intelligent control 52 to provide spatial location information which may be used in defining or recording the position of a pass or its start and end points within a field.
  • User controls 58 are also operatively connected to the intelligent control 52 .
  • the user controls 58 may include buttons, a touch screen interface, or other types of user controls.
  • the user controls 58 may be used by a user to select a harvested pass to use as a reference pass.
  • Header position sensor(s) 62 , bin level sensor 66 , and grain flow sensor(s) 64 may also be operatively connected to the intelligent control 52 .
  • the bin level sensor 66 may be used to determine the amount of crop in the harvest tank of the harvesting machine.
  • the grain flow sensors and/or the header position sensors may be used to assist in determining the start point and end point for a pass through a field. Where the header position is raised and the grain flow sensors indicate no grain is flowing may indicate that one pass is over. This information may also be combined with position information or heading information from the GPS receiver 56 to assist the intelligent control in determining the start point and the end point of a pass through the field. In addition, field boundaries, and information about other passes may be used in determining pass start points and end points.
  • a display 60 is also operatively connected to the intelligent control 52 .
  • the display may be used to display predicted pass information as well as other information which is conventionally associated with a yield monitor of a harvesting machine.
  • FIG. 6 illustrates one example of a screen display 70 which may be displayed on the display 60 . As shown in FIG. 6 , the number of predicted passes which may be harvested before unloading is shown. It should further be appreciated that other information may be present on the display at the same time. This may include yield monitoring information, field mapping, or other information. In addition to the number of predicted passes, the level of the bin or tank may be displayed or other related information.
  • the system may be used to store the total amount if crop, total distance, and spatial location information for every harvested pass within the field.
  • the information on each may be used as reference passes.
  • the reference passes may be selected by any of a number of different methods.
  • a reference pass may be determined manually or automatically.
  • One method of automatically selecting a reference pass is to use the last pass harvested.
  • Another method to automatically select a reference pass is to use an adjacent harvested pass nearest to the selected (unharvested) next pass.
  • Another method of automatically selecting the reference pass is to select the nearest adjacent pass that has one or more properties in common with the selected next pass. This may include the same variety or type of seed, the same fertilizer, the same pesticide, the same length or other properties.

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Environmental Sciences (AREA)
  • Threshing Machine Elements (AREA)
  • Combines (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A method of predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine includes determining a reference pass, the reference pass having a reference pass amount of crop, an optional reference pass distance, and a reference pass spatial location. The method further includes determining an amount of crop in the grain tank of the harvesting machine. The method further includes calculating a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop in the grain tank of the harvesting machine, and the reference pass amount of crop and displaying the number of predicted passes.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • This application claims priority under 35 U.S.C. §119 to provisional application Ser. No. 61/470,258 filed Mar. 31, 2011, herein incorporated by reference in its entirety.
  • FIELD OF THE INVENTION
  • The present invention relates to agricultural harvesting machines. More particularly, the present invention relates to pass prediction for agricultural harvesting machines.
  • BACKGROUND OF THE INVENTION
  • The adage “time equals money” rings true for farmers at harvest time. Bad weather alone can make a few extra days the difference between a profit and a cash flow crunch. Farmers are always on the look-out for ways to increase harvest efficiency.
  • Harvest efficiency diminishes when a full grain tank stops a combine from harvesting; therefore, farmers try to provide enough labor and machinery to unload combine harvesters on-the-go. FIG. 1 is an example of a grain cart unloading a combine on-the-go. FIG. 1 illustrates a field 10. Within the field 10 there is an unharvested area 12 and a harvested area. A harvesting machine or combine 16 with a grain tank 18 is shown which is unloading grain into a grain cart 22 being pulled by a tractor 20. One way to keep combines harvesting is to predict the passes the combine can complete without unloading its grain tank.
  • The passes a combine can complete without unloading will vary throughout the course of harvesting a field. A combine operator can harvest passes in the most efficient order if the operator knows the passes that can and cannot be fully completed. For example, if the operator knows the combine will have to be unloaded midway through a long pass and the grain cart will not make it back before the combine's tank fills; the operator may choose to harvest shorter passes. Shorter passes take more time to harvest because of frequent turns, which gives the grain cart more time to get back to the combine. This makes better use of the combine's time compared to waiting for the grain cart in a longer pass.
  • Sometimes fields are harvested in ‘lands.’ The combine operator strikes through the field in certain spots so they can harvest with their unloading auger always on the harvested side of the field and harvesting in a counter-clock-wise motion. This allows the grain cart to stay close to the combine allowing for more efficient harvesting. FIG. 2 shows a combine 16 starting a new land within a field. Notice the un-harvested crop 12 on both sides of the machine. Combine operators need to pick a pass they know they can make all the way through when opening a land. If the combine gets full before the end of the pass, the combine will have to waste time backing up to the beginning of the pass to unload.
  • It is also useful for the grain cart operator to know whether or not the combine can make it through its current pass. If it can't, the grain cart operator knows to unload the combine on-the-go on the current pass.
  • Two main factors are needed to predict passes. First, the amount of grain that can be added to combine grain tank and second, the amount of grain in the next pass. Various systems have been used to indicate volume within a combine tank. For example, U.S. Pat. No. 6,216,071 to Motz discloses a volume indicating system for the combine tank. U.S. Pat. No. 8,032,255 to Phelan et al. also discloses a system to monitor bin level of a combine tank. U.S. Pat. No. 7,756,624 to Diekhans discloses a system that reconciles a crop material quantity stored in the combine grain tank. What is needed is a method of determining amount of grain that can be added to combine tank.
  • U.S. Pat. No. 6,216,071 discloses a control system that determines an expected time and location at which harvested crop will reach a predetermined desired level in a combine tank. U.S. Pat. No. 7,756,624 discloses using expected crop material yield to determine the expected unloading point or unloading point in time or remaining distance at which the crop material quantity must be unloaded from the combine. What is needed is a method for determining expected crop yield or how to predict which passes the combine can harvest without unloading. Knowing remaining distance and expected time is useful to a combine operator but it does not resolve the problem of which passes can be completed without unloading.
  • What is needed is a method and system for predicting the number of passes that can be harvested before the combine tank becomes full and needs unloading.
  • SUMMARY OF THE INVENTION
  • Therefore it is a primary object, feature, or advantage to improve over the state of the art.
  • It is a further object, feature, or advantage to predict the number of passes that can be harvested until the harvester tank becomes full.
  • It is a still further object, feature, or advantage to display the number of passes that can be harvested until the harvester tank becomes full to an operator.
  • A further object, feature, or advantage is to determine whether a particular pass within a field can be completed before the combine tank becomes full and needs unloading.
  • A still further object, feature, or advantage of the present invention is to determine where a pass begins and ends.
  • One or more of these and/or other objects, features, or advantages will become apparent from the description and claims that follow. No single embodiment need meet all objects, features, or advantages.
  • According to one aspect, a method of predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine is provided. The method includes determining a reference pass to use, the reference pass having a reference pass amount of crop and determining an amount of crop in the grain tank of the harvesting machine. The method further includes calculating a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop within the grain tank of the harvesting machine, and the amount of crop associated with the reference pass. The method further includes displaying the number of predicted passes on a display associated with the harvesting machine.
  • According to another aspect, a system for predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine is provided. The system includes an intelligent control, a global positioning system receiver operatively connected to the intelligent control, a memory operatively connected to the intelligent control, the memory adapted to store previous pass information including amount of crop, and a display operatively connected to the intelligent control. The intelligent control is configured to perform steps of (1) determining a reference pass from the previous pass information, the reference pass having a reference pass amount of crop, (2) determining an amount of crop in the grain tank of the harvesting machine, (3) calculating a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop in the grain tank of the harvesting machine, and the reference pass amount of crop. The display is configured to display the number of predicted passes.
  • According to one aspect, a method of predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine is provided. The method includes determining a reference pass, the reference pass having a reference pass amount of crop, a reference pass distance, and a reference pass spatial location. The method further includes determining an amount of crop in the grain tank of the harvesting machine. The method further includes calculating (a) a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop in the grain tank of the harvesting machine, and the reference pass amount of crop, (b) a predicted distance from the number of predicted passes and the reference pass distance, and (c) a displayed predicted passes from a harvested distance, the predicted distance, and the number of predicted passes. The method also provides for displaying the displayed predicted passes on a display associated with the harvesting machine.
  • According to another aspect of the present invention, a system for predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine is provided. The system includes an intelligent control, a global positioning system receiver operatively connected to the intelligent control, a memory operatively connected to the intelligent control, the memory adapted to store previous pass information including amount of crop, pass distance and spatial location for each previous pass, and a display operatively connected to the intelligent control. The intelligent control is configured to perform steps of (1) determining a reference pass from the previous pass information, the reference pass having a reference pass amount of crop, a reference pass distance, and a reference pass spatial location, (2) determining an amount of crop in the grain tank of the harvesting machine, (3) calculating (a) a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop in the grain tank of the harvesting machine, and the reference pass amount of crop, (b) a predicted distance from the number of predicted passes and the reference pass distance, and (c) a displayed predicted passes from a harvested distance, the predicted distance, and the number of predicted passes. The display is configured to display the displayed predicted passes.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 illustrates a harvesting machine unloading into a grain cart in a field.
  • FIG. 2 illustrates a harvesting machine cutting a land in a field.
  • FIG. 3 is a flow diagram illustrating one example of a method for predicting the number of passes that can be harvested before a harvester tank becomes full.
  • FIG. 4 illustrates an example of a harvesting machine traveling through a field.
  • FIG. 5 is a diagram of one example of a system for performing pass prediction.
  • FIG. 6 is one example of a screen display for conveying predicted pass information to a user.
  • DETAILED DESCRIPTION
  • The present invention provides for predicting the number of passes that can be harvested before a harvester tank (or grain tank) becomes full, or whether a particular pass can be completed before harvester tank must be unloaded.
  • The number of predicted passes can be calculated based on the capacity of the grain tank of the harvesting machine, the amount of crop within the grain tank, and the amount of crop associated with a reference pass.
  • FIG. 3 illustrates one example of a method used for predicting the number of passes that can be harvested before a harvester tank becomes full. In step 30 the number of predicted passes is determined by:

  • PREDICTED PASSES=(TOTAL AMOUNT OF CROP THAT HARVESTER TANK HOLDS−CURRENT AMOUNT OF CROP IN HARVESTER TANK)/AMOUNT OF CROP IN REFERENCE PASS
  • At this point, now that the number of predicted passes has been calculated, this result may be displayed to a user to indicate a number of predicted passes. However, additional steps 32, 34, 36 may be performed.
  • In step 32 a predicted distance of travel is determined by:

  • PREDICTED DISTANCE=PREDICTED PASSES×DISTANCE OF REFERENCE PASS
  • In step 34 the harvested distance is set to zero.
  • In step 36 the number of predicted passes which may be displayed is calculated. The displayed predicted passes may be determined as follows:

  • DISPLAYED PREDICTED PASSES=(1−HARVESTED DISTANCE/PREDICTED DISTANCE)×PREDICTED PASSES
  • After the number of displayed predicted passes has been calculated in step 38 a determination is made as to whether crop is unloaded from the harvester tank. If it is, then the process returns to step 30 and the number of predicted passes is re-calculated. If not, then in step 40, a determination is made as to whether a different reference pass is selected. If it is, then the process returns to step 30 and the number of predicted passes is re-calculated. If not, the process returns to step 36 and the displayed predicted passes is recalculated.
  • Steps 32, 34, and 36 are optional. These steps allow the system to factor out variation in yield throughout the pass as the combine harvests. Including these steps eliminates inflated or deflated pass prediction while harvesting higher or lower yielding parts of the pass.
  • To assist in performing the method, note that a reference pass may be used. The system may store the total amount of crop, total distance, and spatial location of every harvested pass within the field. This information may be used in predicting whether other passes may be completed without unloading the harvester tank.
  • FIG. 4 illustrates one example of a harvesting machine 16 as it is making a pass through a field. Note that the field shown includes a harvested area 14 and unharvested area 12.
  • FIG. 5 illustrates one example of a system that predicts the number of passes that can be harvested until the harvester tank becomes full. As shown in FIG. 5 an intelligent control 52 is shown which may be a microcontroller, microprocessor, or other type of intelligent control. A memory 54 is operatively connected to the intelligent control 52. The memory 54 is a machine readable storage medium on which information such as the total amount of crop, total distance and spatial location of every harvested pass within the field may be stored.
  • A Global Positioning System (GPS) receiver may be operatively connected to the intelligent control 52 to provide spatial location information which may be used in defining or recording the position of a pass or its start and end points within a field. User controls 58 are also operatively connected to the intelligent control 52. The user controls 58 may include buttons, a touch screen interface, or other types of user controls. The user controls 58 may be used by a user to select a harvested pass to use as a reference pass.
  • Header position sensor(s) 62, bin level sensor 66, and grain flow sensor(s) 64 may also be operatively connected to the intelligent control 52. The bin level sensor 66 may be used to determine the amount of crop in the harvest tank of the harvesting machine. The grain flow sensors and/or the header position sensors may be used to assist in determining the start point and end point for a pass through a field. Where the header position is raised and the grain flow sensors indicate no grain is flowing may indicate that one pass is over. This information may also be combined with position information or heading information from the GPS receiver 56 to assist the intelligent control in determining the start point and the end point of a pass through the field. In addition, field boundaries, and information about other passes may be used in determining pass start points and end points.
  • A display 60 is also operatively connected to the intelligent control 52. The display may be used to display predicted pass information as well as other information which is conventionally associated with a yield monitor of a harvesting machine. FIG. 6 illustrates one example of a screen display 70 which may be displayed on the display 60. As shown in FIG. 6, the number of predicted passes which may be harvested before unloading is shown. It should further be appreciated that other information may be present on the display at the same time. This may include yield monitoring information, field mapping, or other information. In addition to the number of predicted passes, the level of the bin or tank may be displayed or other related information.
  • Returning to the system 50 of FIG. 5, the system may be used to store the total amount if crop, total distance, and spatial location information for every harvested pass within the field. The information on each may be used as reference passes. The reference passes may be selected by any of a number of different methods. A reference pass may be determined manually or automatically. One method of automatically selecting a reference pass is to use the last pass harvested. Another method to automatically select a reference pass is to use an adjacent harvested pass nearest to the selected (unharvested) next pass. Another method of automatically selecting the reference pass is to select the nearest adjacent pass that has one or more properties in common with the selected next pass. This may include the same variety or type of seed, the same fertilizer, the same pesticide, the same length or other properties.

Claims (28)

1. A method of predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine, the method comprising:
determining a reference pass to use, the reference pass having a reference pass amount of crop;
determining an amount of crop in the grain tank of the harvesting machine;
calculating a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop within the grain tank of the harvesting machine, and the amount of crop associated with the reference pass; and
displaying the number of predicted passes on a display associated with the harvesting machine.
2. The method of claim 1 wherein the reference pass further having a reference pass distance and a reference pass spatial location.
3. The method of claim 2 wherein the step of calculating the number of predicted passes uses a predicted distance.
4. The method of claim 1 wherein the reference pass is a most recent pass by the harvesting machine through the field.
5. The method of claim 1 wherein the reference pass is selected by a user of the harvesting machine.
6. The method of claim 1 wherein the reference pass is an adjacent harvested pass.
7. The method of claim 1 wherein the reference pass is an adjacent harvested pass with one or more properties the same as a next pass.
8. The method of claim 5 wherein the one or more properties include at least one of crop variety, fertilizer applied, pesticide applied, and length.
9. The method of claim 1 wherein the step of determining a reference pass is determining the reference pass from a set of stored reference passes on a machine readable storage medium.
10. The method of claim 9 further comprising identifying passes and storing the passes as stored reference passes.
11. The method of claim 10 wherein the step of identifying the passes comprising determining a start of each of the passes and determining an end of each of the passes.
12. The method of claim 11 wherein the determining of the start of each of the passes and determining the end of each of the passes is performed by using at least one of header height status changes, GPS readings, grain flow status changes, field boundaries, and other completed passes.
13. A method of predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine, the method comprising:
determining a reference pass, the reference pass having a reference pass amount of crop, a reference pass distance, and a reference pass spatial location;
determining an amount of crop in the grain tank of the harvesting machine;
calculating (a) a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop in the grain tank of the harvesting machine, and the reference pass amount of crop, (b) a predicted distance from the number of predicted passes and the reference pass distance, and (c) a displayed predicted passes from a harvested distance, the predicted distance, and the number of predicted passes; and
displaying the displayed predicted passes on a display associated with the harvesting machine.
14. A system for predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine, the system comprising:
an intelligent control;
a global positioning system receiver operatively connected to the intelligent control;
a memory operatively connected to the intelligent control, the memory adapted to store previous pass information including amount of crop;
a display operatively connected to the intelligent control;
wherein the intelligent control is configured to perform steps of (1) determining a reference pass from the previous pass information, the reference pass having a reference pass amount of crop, (2) determining an amount of crop in the grain tank of the harvesting machine, (3) calculating a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop in the grain tank of the harvesting machine, and the reference pass amount of crop; and
wherein the display is configured to display the number of predicted passes.
15. The system of claim 14 wherein the intelligent control is further configured to calculate the number of predicted passes using a predicted distance from the number of predicted passes and a reference pass distance.
16. The system of claim 14 wherein the reference pass is a most recent pass by the harvesting machine through the field.
17. The system of claim 14 wherein the reference pass is selected by a user of the harvesting machine.
18. The system of claim 14 wherein the reference pass is an adjacent harvested pass.
19. The system of claim 14 wherein the reference pass is an adjacent harvested pass with one or more properties the same as a next pass.
20. The system of claim 19 wherein the one or more properties include at least one of crop variety, fertilizer applied, pesticide applied, and length.
21. The system of claim 14 wherein the intelligent control is further configured for identifying reference passes and storing the passes in the memory.
22. The system of claim 21 wherein the identifying the passes is performed by determining a start of each of the passes and determining an end of each of the passes.
23. The system of claim 22 wherein the determining of the start of each of the passes and determining the end of each of the passes is performed by using at least one of header height status changes, GPS readings, grain flow status changes, field boundaries, and other completed passes.
24. The system of claim 14 further comprising a bin level sensor operatively connected to the intelligent control and wherein the intelligent control determines the amount of crop in the grain tank of the harvesting machine using the bin level sensor.
25. The system of claim 14 further comprising a grain flow sensor operatively connected to the intelligent control.
26. The system of claim 14 further comprising a header position sensor operatively connected to the intelligent control.
27. The system of claim 14 further comprising user controls operatively connected to the intelligent control and wherein the system is configured to allow a user to select a reference pass using the user controls.
28. A system for predicting the number of passes a harvesting machine can complete within a field without unloading grain from a grain tank of the harvesting machine, the system comprising:
an intelligent control;
a global positioning system receiver operatively connected to the intelligent control;
a memory operatively connected to the intelligent control, the memory adapted to store previous pass information including amount of crop, pass distance and spatial location for each previous pass;
a display operatively connected to the intelligent control;
wherein the intelligent control is configured to perform steps of (1) determining a reference pass from the previous pass information, the reference pass having a reference pass amount of crop, a reference pass distance, and a reference pass spatial location, (2) determining an amount of crop in the grain tank of the harvesting machine, (3) calculating (a) a number of predicted passes from a capacity of the grain tank of the harvesting machine, the amount of crop in the grain tank of the harvesting machine, and the reference pass amount of crop, (b) a predicted distance from the number of predicted passes and the reference pass distance, and (c) a displayed predicted passes from a harvested distance, the predicted distance, and the number of predicted passes; and
wherein the display is configured to display the displayed predicted passes.
US13/429,655 2011-03-31 2012-03-26 Pass predictor for agricultural harvesting machines Abandoned US20120253760A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US13/429,655 US20120253760A1 (en) 2011-03-31 2012-03-26 Pass predictor for agricultural harvesting machines

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201161470258P 2011-03-31 2011-03-31
US13/429,655 US20120253760A1 (en) 2011-03-31 2012-03-26 Pass predictor for agricultural harvesting machines

Publications (1)

Publication Number Publication Date
US20120253760A1 true US20120253760A1 (en) 2012-10-04

Family

ID=46928320

Family Applications (2)

Application Number Title Priority Date Filing Date
US13/412,000 Active 2033-02-25 US9043096B2 (en) 2011-03-31 2012-03-05 Combine bin level monitoring system
US13/429,655 Abandoned US20120253760A1 (en) 2011-03-31 2012-03-26 Pass predictor for agricultural harvesting machines

Family Applications Before (1)

Application Number Title Priority Date Filing Date
US13/412,000 Active 2033-02-25 US9043096B2 (en) 2011-03-31 2012-03-05 Combine bin level monitoring system

Country Status (2)

Country Link
US (2) US9043096B2 (en)
WO (2) WO2012134723A2 (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120253611A1 (en) * 2011-03-31 2012-10-04 Ag Leader Technology Combine bin level monitoring system
US20130311050A1 (en) * 2012-05-15 2013-11-21 Trimble Navigation Limited Agricultural Rate Management
WO2014149675A1 (en) * 2013-03-15 2014-09-25 Raven Industries, Inc. Multi-variable yield monitor and methods for the same
US9310329B2 (en) 2013-03-15 2016-04-12 Raven Industries, Inc. Remote moisture sensor and methods for the same
US9372109B2 (en) 2013-03-15 2016-06-21 Raven Industires, Inc. Harvester elevator in-flow weight sensor and methods for the same
US20190230855A1 (en) * 2018-01-29 2019-08-01 Cnh Industrial America Llc Predictive header height control system
US10645864B2 (en) 2018-08-21 2020-05-12 Cnh Industrial Canada, Ltd. Product runout tracking system and method
US20230000015A1 (en) * 2019-12-09 2023-01-05 Precision Planting Llc Methods and imaging systems for harvesting

Families Citing this family (64)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8981949B2 (en) * 2010-02-12 2015-03-17 Cnh Industrial America Llc Harvester bin sensor
KR102234179B1 (en) * 2013-03-27 2021-03-31 가부시끼 가이샤 구보다 Combine
US9983048B1 (en) 2013-11-15 2018-05-29 Bitstrata Systems Inc. System and method for measuring grain cart weight
KR102446617B1 (en) * 2014-09-25 2022-09-23 가부시끼 가이샤 구보다 Harvesting machine
AU2014411244B2 (en) 2014-11-14 2018-11-29 Bitstrata Systems Inc. System and method for measuring grain cart weight
US9756774B1 (en) 2015-01-15 2017-09-12 Ag Leader Technology, Inc. Automatic in field variety identification
US10278329B2 (en) * 2015-03-16 2019-05-07 Kubota Corporation Grain management system and combine
EP3272204B1 (en) * 2015-03-18 2021-06-30 Kubota Corporation Combine harvester
CN105123097B (en) * 2015-09-23 2018-05-15 李惠远 A kind of harvester Protection control system and method
US9676557B2 (en) 2015-09-30 2017-06-13 Deere & Company Elevator paddle design to optimize sample bypass collection
EP3195720A1 (en) * 2016-01-21 2017-07-26 CLAAS E-Systems KGaA mbH & Co KG Crop tank system
US10481105B2 (en) 2016-08-31 2019-11-19 Deere & Company Measurement device and method for estimating yield of a harvested crop
US10371558B2 (en) * 2016-08-31 2019-08-06 Deere & Company System and method for measuring a bin level via an electromagnetic signal
US11605448B2 (en) 2017-08-10 2023-03-14 Nuance Communications, Inc. Automated clinical documentation system and method
US11191207B2 (en) * 2017-09-21 2021-12-07 Deere & Company Commodity metering system for work vehicle and calibration method for same
EP3459339B1 (en) 2017-09-21 2021-06-23 CNH Industrial Belgium NV Operator adjustable continuous bin level measurement
US10609858B2 (en) 2017-09-21 2020-04-07 Deere & Company Commodity metering system for work vehicle and calibration method for same
US10645875B2 (en) * 2017-10-19 2020-05-12 Cnh Industrial America Llc Method and system for unloading harvested crop from an agricultural harvester
WO2019103089A1 (en) * 2017-11-24 2019-05-31 株式会社クボタ Harvesting machine, travel distance limit calculation program, recording medium having travel distance limit calculation program recorded thereon, travel distance limit calculation method, agricultural work vehicle, turning control program, recording medium having turning control program recorded thereon, turning control method, combine control system, combine control program, recording medium having combine control program recorded thereon, and combine control method
US10609864B2 (en) 2017-12-01 2020-04-07 Cnh Industrial America Llc Predicting grain tank levels when on slopes or hills
NL2020077B1 (en) * 2017-12-13 2019-06-21 Lely Patent Nv Autonomous agricultural vehicle
US10820504B2 (en) 2018-07-03 2020-11-03 Cnh Industrial America Llc System and method for determining the residue yield of plant materials harvested by an agricultural harvester
US11079725B2 (en) 2019-04-10 2021-08-03 Deere & Company Machine control using real-time model
US11641800B2 (en) 2020-02-06 2023-05-09 Deere & Company Agricultural harvesting machine with pre-emergence weed detection and mitigation system
US11957072B2 (en) 2020-02-06 2024-04-16 Deere & Company Pre-emergence weed detection and mitigation system
US11589509B2 (en) 2018-10-26 2023-02-28 Deere & Company Predictive machine characteristic map generation and control system
US11240961B2 (en) * 2018-10-26 2022-02-08 Deere & Company Controlling a harvesting machine based on a geo-spatial representation indicating where the harvesting machine is likely to reach capacity
US11653588B2 (en) 2018-10-26 2023-05-23 Deere & Company Yield map generation and control system
US12069978B2 (en) 2018-10-26 2024-08-27 Deere & Company Predictive environmental characteristic map generation and control system
US11178818B2 (en) * 2018-10-26 2021-11-23 Deere & Company Harvesting machine control system with fill level processing based on yield data
US11467605B2 (en) 2019-04-10 2022-10-11 Deere & Company Zonal machine control
US11672203B2 (en) 2018-10-26 2023-06-13 Deere & Company Predictive map generation and control
US11234366B2 (en) 2019-04-10 2022-02-01 Deere & Company Image selection for machine control
US11778945B2 (en) 2019-04-10 2023-10-10 Deere & Company Machine control using real-time model
US12035648B2 (en) 2020-02-06 2024-07-16 Deere & Company Predictive weed map generation and control system
US11477940B2 (en) 2020-03-26 2022-10-25 Deere & Company Mobile work machine control based on zone parameter modification
US11844311B2 (en) 2020-10-09 2023-12-19 Deere & Company Machine control using a predictive map
US11874669B2 (en) 2020-10-09 2024-01-16 Deere & Company Map generation and control system
US11946747B2 (en) 2020-10-09 2024-04-02 Deere & Company Crop constituent map generation and control system
US11675354B2 (en) 2020-10-09 2023-06-13 Deere & Company Machine control using a predictive map
US11895948B2 (en) 2020-10-09 2024-02-13 Deere & Company Predictive map generation and control based on soil properties
US11845449B2 (en) 2020-10-09 2023-12-19 Deere & Company Map generation and control system
US11849672B2 (en) 2020-10-09 2023-12-26 Deere & Company Machine control using a predictive map
US11889788B2 (en) 2020-10-09 2024-02-06 Deere & Company Predictive biomass map generation and control
US11927459B2 (en) 2020-10-09 2024-03-12 Deere & Company Machine control using a predictive map
US12013245B2 (en) 2020-10-09 2024-06-18 Deere & Company Predictive map generation and control system
US11592822B2 (en) 2020-10-09 2023-02-28 Deere & Company Machine control using a predictive map
US11727680B2 (en) 2020-10-09 2023-08-15 Deere & Company Predictive map generation based on seeding characteristics and control
US11474523B2 (en) 2020-10-09 2022-10-18 Deere & Company Machine control using a predictive speed map
US11871697B2 (en) 2020-10-09 2024-01-16 Deere & Company Crop moisture map generation and control system
US12069986B2 (en) 2020-10-09 2024-08-27 Deere & Company Map generation and control system
US11711995B2 (en) 2020-10-09 2023-08-01 Deere & Company Machine control using a predictive map
US11825768B2 (en) 2020-10-09 2023-11-28 Deere & Company Machine control using a predictive map
US11983009B2 (en) 2020-10-09 2024-05-14 Deere & Company Map generation and control system
US11650587B2 (en) 2020-10-09 2023-05-16 Deere & Company Predictive power map generation and control system
US11635765B2 (en) 2020-10-09 2023-04-25 Deere & Company Crop state map generation and control system
US11849671B2 (en) 2020-10-09 2023-12-26 Deere & Company Crop state map generation and control system
US11889787B2 (en) 2020-10-09 2024-02-06 Deere & Company Predictive speed map generation and control system
US11980134B2 (en) 2021-03-09 2024-05-14 Deere & Company Operator commanded placement for control of filling mechanisms
US12004449B2 (en) 2021-03-24 2024-06-11 Deere & Company Control system for controlling filling mechanisms in communication with a mobile device
US11765993B2 (en) * 2021-05-17 2023-09-26 Deere & Company Control system detecting fill level on receiving vehicle(s)
US11930738B2 (en) 2021-06-28 2024-03-19 Deere & Company Closed loop control of filling mechanisms
US12082531B2 (en) 2022-01-26 2024-09-10 Deere & Company Systems and methods for predicting material dynamics
US12058951B2 (en) 2022-04-08 2024-08-13 Deere & Company Predictive nutrient map and control

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11137048A (en) * 1997-11-10 1999-05-25 Yanmar Agricult Equip Co Ltd Controller of combine harvester
US5995894A (en) * 1997-05-27 1999-11-30 Case Corporation System for analyzing spatially-variable harvest data by pass
US6505146B1 (en) * 1999-09-24 2003-01-07 Monsanto Company Method and system for spatial evaluation of field and crop performance
US7502678B2 (en) * 2006-04-21 2009-03-10 Claas Selbstfahrende Erntemaschinen Gmbh Method for controlling an agricultural machine system
US7756624B2 (en) * 2005-12-08 2010-07-13 Claas Selbstfahrende Erntemaschinen Gmbh Route planning system for agricultural working machines

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19541167C2 (en) * 1995-11-04 2001-04-05 Claas Ohg Device and method for calibrating the measurement of a material flow
DE19544057C2 (en) * 1995-11-25 2000-06-29 Claas Ohg Method for measuring a quantity of crop in an elevator of a harvesting machine and harvesting machine with an elevator for carrying out the method
US6460008B1 (en) * 2000-07-19 2002-10-01 Ivan E. Hardt Yield monitoring system for grain harvesting combine
US6820459B2 (en) * 2002-09-18 2004-11-23 Deere & Company Automatic mass-flow sensor calibration for a yield monitor
US7216033B2 (en) * 2003-03-31 2007-05-08 Deere & Company Path planner and method for planning a contour path of a vehicle
US6899616B1 (en) * 2003-12-23 2005-05-31 Acoo Corporation Mass flow grain monitor and method
US8032255B2 (en) 2008-06-30 2011-10-04 Deere & Company Monitoring of bin level for an agricultural product
US7877181B2 (en) * 2009-05-11 2011-01-25 Deere & Company Scalable grain tank fill level display
US8749628B2 (en) * 2011-02-08 2014-06-10 Trimble Navigation Limited Dry agricultural materials management
US9043096B2 (en) * 2011-03-31 2015-05-26 Ag Leader Technology Combine bin level monitoring system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5995894A (en) * 1997-05-27 1999-11-30 Case Corporation System for analyzing spatially-variable harvest data by pass
JPH11137048A (en) * 1997-11-10 1999-05-25 Yanmar Agricult Equip Co Ltd Controller of combine harvester
US6505146B1 (en) * 1999-09-24 2003-01-07 Monsanto Company Method and system for spatial evaluation of field and crop performance
US7756624B2 (en) * 2005-12-08 2010-07-13 Claas Selbstfahrende Erntemaschinen Gmbh Route planning system for agricultural working machines
US7502678B2 (en) * 2006-04-21 2009-03-10 Claas Selbstfahrende Erntemaschinen Gmbh Method for controlling an agricultural machine system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Human Translation: Tetesuo Eto, JP H11137048, 05-1999, Japan *

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120253611A1 (en) * 2011-03-31 2012-10-04 Ag Leader Technology Combine bin level monitoring system
US9043096B2 (en) * 2011-03-31 2015-05-26 Ag Leader Technology Combine bin level monitoring system
US9338938B2 (en) * 2012-05-15 2016-05-17 Trimble Navigation Limited Agricultural rate management
US20130311050A1 (en) * 2012-05-15 2013-11-21 Trimble Navigation Limited Agricultural Rate Management
US9372109B2 (en) 2013-03-15 2016-06-21 Raven Industires, Inc. Harvester elevator in-flow weight sensor and methods for the same
US9310329B2 (en) 2013-03-15 2016-04-12 Raven Industries, Inc. Remote moisture sensor and methods for the same
WO2014149675A1 (en) * 2013-03-15 2014-09-25 Raven Industries, Inc. Multi-variable yield monitor and methods for the same
US9410840B2 (en) 2013-03-15 2016-08-09 Raven Industries, Inc. Multi-variable yield monitor and methods for the same
US10260931B2 (en) 2013-03-15 2019-04-16 Raven Industries, Inc. Multi-variable yield monitor and methods for the same
US20190230855A1 (en) * 2018-01-29 2019-08-01 Cnh Industrial America Llc Predictive header height control system
US10687466B2 (en) * 2018-01-29 2020-06-23 Cnh Industrial America Llc Predictive header height control system
US10645864B2 (en) 2018-08-21 2020-05-12 Cnh Industrial Canada, Ltd. Product runout tracking system and method
US20230000015A1 (en) * 2019-12-09 2023-01-05 Precision Planting Llc Methods and imaging systems for harvesting
US11632905B2 (en) * 2019-12-09 2023-04-25 Precision Planting Llc Methods and imaging systems for harvesting

Also Published As

Publication number Publication date
US9043096B2 (en) 2015-05-26
WO2012135094A2 (en) 2012-10-04
WO2012135094A3 (en) 2014-05-01
WO2012134723A3 (en) 2014-04-17
WO2012134723A2 (en) 2012-10-04
US20120253611A1 (en) 2012-10-04

Similar Documents

Publication Publication Date Title
US20120253760A1 (en) Pass predictor for agricultural harvesting machines
EP3643159B1 (en) Harvesting machine control system with fill level processing based on yield data
EP3643160B1 (en) Controlling a harvesting machine based on a geo-spatial representation indicating where the harvesting machine is likely to reach capacity
US10537061B2 (en) System and method for controlling harvest operations
US20180232674A1 (en) Method and system for determining work trajectories for a fleet of working units in a harvest operation
WO2016147521A1 (en) Combine, and grain-evaluation control device for combine
US7877181B2 (en) Scalable grain tank fill level display
JP6116173B2 (en) Farm management system
US20200090094A1 (en) Harvester control system
US6216071B1 (en) Apparatus and method for monitoring and coordinating the harvesting and transporting operations of an agricultural crop by multiple agricultural machines on a field
WO2014050524A1 (en) Agricultural management system and crop harvester
JP2002186348A (en) System for transporting grains to grain storage facility
US20130166344A1 (en) Method for planning a process chain for a agricultural operation
US9087022B2 (en) Systems and methods for predicting regional turfgrass performance
JP2017102924A (en) Farming management system and farm crop harvester
EP4169369A1 (en) Automated turn patterns in an agricultural harvester
CN115067061A (en) Grain box grain unloading return position monitoring system and method and harvester
JP7535929B2 (en) Harvest Collection Support System
US20230124026A1 (en) Harvesting machine control system with haulage vehicle route based on pre-defined machine path
EP4410080A1 (en) Training method for an agricultural vehicle automation system
BR102023016055A2 (en) METHOD FOR CONTROLLING POWER OF AN ENGINE OF A WORKING MACHINE DURING A HARVESTING OPERATION, AND, WORKING MACHINE INCLUDING A HARVESTING SYSTEM
JPS6335563Y2 (en)
CN117958012A (en) Harvesting scheduling method, device and medium for multi-agricultural-machine combined operation
BR102022009149A2 (en) METHOD FOR CONTROLLING THE POWER OF THE WORKING MACHINE AND THE WORKING MACHINE

Legal Events

Date Code Title Description
AS Assignment

Owner name: AG LEADER TECHNOLOGY, IOWA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:ZIELKE, ROGER R.;REEL/FRAME:027925/0530

Effective date: 20120323

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION