Prosecution Insights
Last updated: April 19, 2026
Application No. 18/629,203

CONTINUOUS MATERIAL APPLICATION RATE CALIBRATION WITH ERROR IDENTIFICATION AND CAUSE IDENTIFICATION CART TANK CONTENTS

Final Rejection §103
Filed
Apr 08, 2024
Examiner
LEE, BRANDON SUNG EUN
Art Unit
3668
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Deere & Company
OA Round
2 (Final)
77%
Grant Probability
Favorable
3-4
OA Rounds
2y 2m
To Grant
99%
With Interview

Examiner Intelligence

Grants 77% — above average
77%
Career Allow Rate
10 granted / 13 resolved
+24.9% vs TC avg
Strong +33% interview lift
Without
With
+33.3%
Interview Lift
resolved cases with interview
Typical timeline
2y 2m
Avg Prosecution
21 currently pending
Career history
34
Total Applications
across all art units

Statute-Specific Performance

§101
20.0%
-20.0% vs TC avg
§103
42.0%
+2.0% vs TC avg
§102
21.5%
-18.5% vs TC avg
§112
16.6%
-23.4% vs TC avg
Black line = Tech Center average estimate • Based on career data from 13 resolved cases

Office Action

§103
DETAILED ACTION This Office Action is in response to Applicant’s Amendments and Remarks filed on 01/05/2026. Claim 10 has been cancelled. Claims 1-9, and 11-20 are pending for examination. Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Response to Amendment With regards to the objection to the abstract in the previous office action, the amendment made shortens the word count to the allowed length. Therefore, the objection made to the abstract has been withdrawn. With regards to the 112(b) rejection to claims 1-20 in the previous office action, the amendments made to the claims overcome the 112(b) rejection by updating the naming of “mobile agricultural material application machine” to be unanimous across the claim set. Therefore, the 112(b) rejection has been withdrawn. With regards to the 101 rejection to claims 1, 7-10 in the previous office action, the amendments made to the independent claim recite additional elements that integrate the judicial exception into a practical application. Therefore, the 101 rejection has been withdrawn. With regards to the 103 rejection to claim 10 in the previous office action, since claim 5 has been cancelled the 103 rejection to claim 10 has been withdrawn. Response to Argument With regards to the invoked 112(f) in the previous office action, the arguments made on page 12 of the applicant’s remarks filed on 01/05/2026. Therefore, 112(f) is not invoked. With regards to the 102 rejection made to claim 1, the amendments made to claim 1 incorporate limitations of the now cancelled claim 10. Therefore, the 102 rejection has been withdrawn. Additionally, the the arguments made on page 12 of the applicant’s remarks filed on 01/05/2026 regarding prior art Ebertseder (US 11526171 B2) have been persuasive. However, upon further consideration, a new ground of rejection is made in view of Thompson et al. (US 20190339722 A1; hereafter Thompson) and Dennis Thompson (US 20230380331 A1). Claim Rejections - 35 USC § 103 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. The factual inquiries for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. Claims 1-3, 6-9, 11-13, and 19-20 are rejected under 35 U.S.C. 103 as being anticipated by Thompson and Dennis. Regarding claim 1, Thompson discloses a mobile agricultural material application machine comprising: one or more ground engaging traction elements configured to carry the mobile agricultural material application machine over a worksite along a travel path ([Fig. 1 & 0019]; “Accordingly, the air cart 12 includes an agricultural material meter 25, a storage tank 26, a frame 28, wheels 30, and an air source 32.”); one or more material tanks configured to hold a material ([Fig. 1 & 0019]; “Accordingly, the air cart 12 includes an agricultural material meter 25, a storage tank 26, a frame 28, wheels 30, and an air source 32.”); one or more material quantity sensors configured to detect a quantity of the material in the one or more material tanks and generate material quantity sensor data indicative of the quantity of the material in the one or more tanks ([0034]; “In the present embodiment, the scale 54 measures the weight of the storage tank. The scale 54 measures the weight of the storage tank before any of the material exits the storage tank and send a signal to the controller 62 indicative of the initial weight of the storage tank.” [0039]; “After the swept area and the change in weight of the material has been determined (i.e., the difference between the initial weight measurement and a weight measurement after a portion of the material has been dispersed in the field), the controller 62 determines the amount (e.g., weight) of material deposited per area”); and a control system ([Fig. 3 & 0027]; “FIG. 3 is a block diagram of an embodiment of a control system 60 for controlling the flow of the material through the agricultural material meter 25.”) configured to: determine conditions are suitable to perform a material application rate calibration operation while the mobile agricultural material application machine travels along the travel path based on the calibration conditions sensor data indicative of the one or more calibration conditions ([0038]; “Further, the controller 62 may receive the data from the IMU 66 and determine which parts of the field are flatter. Flatter portions of the field correspond to lower outside forces. Thus, choosing the portions of the force data that deviate the least from the constant force caused by gravity corresponds to data received from flatter portions of the field.”); and perform the material application rate calibration operation while the mobile agricultural material application travels along the travel path based on the determination that conditions are suitable to perform the material rate calibration operation. ([0038]; “Then, the controller 62 may select weight data corresponding to the flatter portions of the field, and use this data for the above discussed calibration determination.”) control the mobile agricultural material application machine based on the material application rate calibration operation. ([0049]; “After determining (block 108) the flow rate of the material, the process 100 may then adjust (block 110) the flow rate based on the determined flow rate. As discussed above, the controller may compare the determined flow rate to a target flow rate to determine how much the flow rate should change to match the target flow rate. Then, the controller may adjust the speed of the drive system in accordance with the difference between the determined flow rate and the target flow rate, as discussed above.)”) Although Thompson teaches calibration sensors ([0029]; “In certain embodiments, the control system 60 also includes the IMU 66 communicatively coupled to the controller 62 and configured to enhance the accuracy of the determined position and/or orientation. For example, the IMU 66 may include one or more accelerometers configured to output signal(s) indicative of acceleration along the longitudinal axis, the lateral axis, the vertical axis, or a combination thereof.”), Thompson does not teach sensors that detect the operation of other components of the system. However, Dennis does teach, one or more calibration conditions sensor configured to detect one or more calibration conditions and generate calibration conditions sensor data indicative of the one or more calibration conditions ([0058]; “As shown, the control module 114 may receive data from various components of the product delivery system 10 and, in turn, alter or manipulate at least one of a manifold 46, a flow control system 48, and/or an air source 40.”), wherein the one or more calibration conditions sensors include one or more operation status sensors configured to generate, as at least part of the calibration conditions sensor data, operation status sensor data indicative of a status of a sub-operation of the mobile agricultural material application machine ([0058]; “It will be appreciated that additional data may be provided from the illustrated components and/or other components of the product delivery system 10 that are utilized for determining an alteration to the product delivery system 10 (e.g., from one or more sensors 64 operably coupled with any component of the product delivery system 10 and/or any other component)”) It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Thompson with Dennis. This modification would have been obvious because both Thompson and Dennis cover subject matter within the same field of endeavor (agricultural material application calibration) and it would have been beneficial to receive data from other components of the machine when determining the calibration needed during agricultural material application. Regarding claim 2, Thompson in combination with Dennis discloses all of the limitations of claim 1. Additionally, Thompson discloses the control system is configured, in performing the material rate calibration operation, to: obtain a reference material quantity indicative of a reference quantity of the material in the one or more material tanks corresponding to a first time ([0034]; “The scale 54 measures the weight of the storage tank before any of the material exits the storage tank and send a signal to the controller 62 indicative of the initial weight of the storage tank.”); determine an area covered by the mobile agricultural material application machine since the first time, based on data indicative of the area covered by the mobile agricultural material application machine since the first time ([0033]; “Utilizing these inputs, the controller 62 may determine the area swept by the agricultural implement 11 (i.e., swept area).”); determine, at a second time, a calibrated material application rate based on the determined area covered and the material quantity sensor data indicative of the quantity of the material in the one or more tanks ([0039]; “After the swept area and the change in weight of the material has been determined (i.e., the difference between the initial weight measurement and a weight measurement after a portion of the material has been dispersed in the field), the controller 62 determines the amount (e.g., weight) of material deposited per area.”); and control the mobile agricultural material application machine based on the calibrated material application rate. ([0039]; “After the controller 62 determines the amount of material deposited per area, the controller 62 or the operator may compare the calibration to a target calibration. For example, if the amount of material deposited per area is outside of a threshold value, the controller 62 or the operator may adjust the meter roller rotation rate to bring the amount of material deposited per area closer to a target value.”) Regarding claim 3, Thompson in combination with Dennis discloses all of the limitations of claim 2. Additionally, Thompson discloses the control system is further configured, in performing the material rate calibration operation, to: determine a material application rate error based on a comparison of a reference material application rate and the calibrated material application rate ([0039]; “For example, if the amount of material deposited per area is outside of a threshold value, the controller 62 or the operator may adjust the meter roller rotation rate to bring the amount of material deposited per area closer to a target value.”); control the mobile agricultural material application machine based on the determined material application rate error. ([0040]; The calibration process may update the amount of material deposited per area to match either the operator input or the controller input.”) Regarding claim 6, Thompson in combination with Dennis discloses all of the limitations of claim 3. Additionally, Thompson discloses the control system is further configured, in performing the material rate calibration operation, to: update a stored material application rate relationship based on the calibrated material application rate, the stored material application rate relationship describing a relationship between travel speed of the mobile agricultural material application machine, actuation of a material meter of the mobile agricultural material application machine, and material application rate ([0023]; “In further embodiments, the drive system 44 may be coupled to a wheel (e.g., via a gear system) such that rotation of the wheel drives the meter roller 42 to rotate. Such a configuration automatically varies the rotation rate of the meter roller 42 based on the speed of the air cart.” Note: One of ordinary skill in the art would recognize that since the speed of the meter roller is updated in relation to the speed of the air cart that once the calibration system updates the application rate the relationship between the speed of the air cart and the roller is updated.); and control the mobile agricultural material application machine based on the updated stored material application rate relationship. ([0040]; “For example, the controller 62 may adjust the speed of the drive system 44, and thus the meter rollers, such that the determined amount of material deposited per area approaches or matches the target amount of material deposited per area.”)) Regarding claim 7, Thompson in combination with Dennis discloses all of the limitations of claim 1. Additionally, Thompson discloses the one or more calibration conditions sensors further include one or more turn status sensors configured to generate, as at least part of the calibration conditions sensor data, turn status sensor data indicative of a turn status of the mobile agricultural material application machine. ([0029]; “In addition, the IMU 66 may include one or more gyroscopes configured to output signal(s) indicative of rotation (e.g., rotational angle, rotational velocity, rotational acceleration, etc.) about the longitudinal axis, the lateral axis, the vertical axis, or a combination thereof.”) Regarding claim 8, Thompson in combination with Dennis discloses all of the limitations of claim 1. Additionally, Thompson discloses the one or more calibration conditions sensors further include one or more speed sensors configured to generate, as at least part of the calibration conditions sensor data, speed sensor data indicative of a travel speed of the mobile agricultural material application machine. ([0029]; “For example, the IMU 66 may include one or more accelerometers configured to output signal(s) indicative of acceleration along the longitudinal axis, the lateral axis, the vertical axis, or a combination thereof.”) Regarding claim 9, Thompson in combination with Dennis discloses all of the limitations of claim 1. Additionally, Thompson discloses the one or more calibration conditions sensors further include one or more ground level sensors configured to generate, as at least part of the calibration conditions sensor data, ground level sensor data indicative of a ground level of the worksite. ([0029]; “In addition, the IMU 66 may include one or more gyroscopes configured to output signal(s) indicative of rotation (e.g., rotational angle, rotational velocity, rotational acceleration, etc.) about the longitudinal axis, the lateral axis, the vertical axis, or a combination thereof.”) Regarding claim 11, Thompson in combination with Dennis discloses all of the limitations of claim 1. Additionally, Thompson discloses controlling one or more actuators to control actuation of each of one or more material meters of the mobile agricultural material application machine based on the material application rate calibration operation. ([0023]; “In the illustrated embodiment, the meter roller 42 is coupled to a drive system 44 configured to drive the meter roller 42 to rotate. In certain embodiments, the drive system 44 may include a drive unit, such as an electric or hydraulic motor, configured to drive one or more meter rollers to rotate.”) Regarding claim 12, Thompson discloses a computer implemented method of controlling a mobile agricultural material application machine having one or more material tanks configured to hold a material ([Fig. 1 & 0019]; “Accordingly, the air cart 12 includes an agricultural material meter 25, a storage tank 26, a frame 28, wheels 30, and an air source 32.”) and one or more ground engaging taction elements configured to carry the mobile agricultural material application machine over a worksite along a travel path ([Fig. 1 & 0019]; “Accordingly, the air cart 12 includes an agricultural material meter 25, a storage tank 26, a frame 28, wheels 30, and an air source 32.”), the computer implemented method comprising: obtaining material quantity sensor data indicative of a quantity of the material in the one or more tanks ([0034]; “In the present embodiment, the scale 54 measures the weight of the storage tank. The scale 54 measures the weight of the storage tank before any of the material exits the storage tank and send a signal to the controller 62 indicative of the initial weight of the storage tank.” [0039]; “After the swept area and the change in weight of the material has been determined (i.e., the difference between the initial weight measurement and a weight measurement after a portion of the material has been dispersed in the field), the controller 62 determines the amount (e.g., weight) of material deposited per area”); determining conditions are suitable to perform a material application rate calibration operation while the mobile agricultural material application machine travels along the travel path based on the calibration conditions sensor data indicative of the one or more calibration conditions ([0038]; “Further, the controller 62 may receive the data from the IMU 66 and determine which parts of the field are flatter. Flatter portions of the field correspond to lower outside forces. Thus, choosing the portions of the force data that deviate the least from the constant force caused by gravity corresponds to data received from flatter portions of the field.”); performing the material application rate calibration operation while the mobile agricultural material application machine travels along the travel path based on the determination that conditions are suitable to perform the material rate calibration operation ([0038]; “Then, the controller 62 may select weight data corresponding to the flatter portions of the field, and use this data for the above discussed calibration determination.”); and controlling the mobile agricultural material application machine based on the performed material application rate calibration operation. ([0039]; “After the controller 62 determines the amount of material deposited per area, the controller 62 or the operator may compare the calibration to a target calibration. For example, if the amount of material deposited per area is outside of a threshold value, the controller 62 or the operator may adjust the meter roller rotation rate to bring the amount of material deposited per area closer to a target value.”) Although Thompson teaches calibration sensors ([0029]; “In certain embodiments, the control system 60 also includes the IMU 66 communicatively coupled to the controller 62 and configured to enhance the accuracy of the determined position and/or orientation. For example, the IMU 66 may include one or more accelerometers configured to output signal(s) indicative of acceleration along the longitudinal axis, the lateral axis, the vertical axis, or a combination thereof.”), Thompson does not teach sensors that detect the operation of other components of the system. However, Dennis does teach, one or more calibration conditions sensor configured to detect one or more calibration conditions and generate calibration conditions sensor data indicative of the one or more calibration conditions ([0058]; “As shown, the control module 114 may receive data from various components of the product delivery system 10 and, in turn, alter or manipulate at least one of a manifold 46, a flow control system 48, and/or an air source 40.”), wherein the one or more calibration conditions sensors include one or more operation status sensors configured to generate, as at least part of the calibration conditions sensor data, operation status sensor data indicative of a status of a sub-operation of the mobile agricultural material application machine ([0058]; “It will be appreciated that additional data may be provided from the illustrated components and/or other components of the product delivery system 10 that are utilized for determining an alteration to the product delivery system 10 (e.g., from one or more sensors 64 operably coupled with any component of the product delivery system 10 and/or any other component)”) It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Thompson with Dennis. This modification would have been obvious because both Thompson and Dennis cover subject matter within the same field of endeavor (agricultural material application calibration) and it would have been beneficial to receive data from other components of the machine when determining the calibration needed during agricultural material application. Regarding claim 13, Thompson in combination with Dennis discloses all of the limitations of claim 12. Additionally, Thompson discloses performing the material application rate calibration operation comprises: obtaining a reference material quantity indicative of a reference quantity of the material in the one or more material tanks corresponding to a first time ([0034]; “The scale 54 measures the weight of the storage tank before any of the material exits the storage tank and send a signal to the controller 62 indicative of the initial weight of the storage tank.”); determining an area covered by the mobile agricultural material application machine since the first time, based on data indicative of the area covered by the mobile agricultural machine since the first time ([0033]; “Utilizing these inputs, the controller 62 may determine the area swept by the agricultural implement 11 (i.e., swept area).”); determining, at a second time, a calibrated material application rate based on the determined area covered and the material quantity sensor data indicative of the quantity of the material in the one or more tanks ([0039]; “After the swept area and the change in weight of the material has been determined (i.e., the difference between the initial weight measurement and a weight measurement after a portion of the material has been dispersed in the field), the controller 62 determines the amount (e.g., weight) of material deposited per area.”); and determining a material application rate error based on a comparison of the reference material application rate and the calibrated material application rate. ([0039]; “After the controller 62 determines the amount of material deposited per area, the controller 62 or the operator may compare the calibration to a target calibration. For example, if the amount of material deposited per area is outside of a threshold value, the controller 62 or the operator may adjust the meter roller rotation rate to bring the amount of material deposited per area closer to a target value.”) Regarding claim 18, Thompson in combination with Dennis discloses all of the limitations of claim 12. Additionally, Thompson discloses obtaining calibration conditions sensor data indicative of one or more calibration conditions comprises two or more of: (i) obtaining, as apart of the calibration conditions sensor data, speed sensor data indicative of a travel speed of the mobile agricultural material application machine; (ii) obtaining, as a part of the calibration conditions sensor data, ground level sensor data indicative of a ground level of the worksite; and (iii) obtaining, as a part of the calibration conditions sensor data, operation status sensor data indicative of a status of a sub-operation of the mobile agricultural material application machine. ([0029]; “For example, the IMU 66 may include one or more accelerometers configured to output signal(s) indicative of acceleration along the longitudinal axis, the lateral axis, the vertical axis, or a combination thereof. In addition, the IMU 66 may include one or more gyroscopes configured to output signal(s) indicative of rotation (e.g., rotational angle, rotational velocity, rotational acceleration, etc.) about the longitudinal axis, the lateral axis, the vertical axis, or a combination thereof.” Regarding claim 19, Thompson in combination with Dennis discloses all of the limitations of claim 12. Additionally, Thompson discloses the mobile agricultural material application machine based on the performed material application rate calibration operation comprises: controlling one or more actuators to control actuation of each of one or more material meters of the mobile agricultural material application machine based on the material application rate calibration operation. ([0023]; “In the illustrated embodiment, the meter roller 42 is coupled to a drive system 44 configured to drive the meter roller 42 to rotate. In certain embodiments, the drive system 44 may include a drive unit, such as an electric or hydraulic motor, configured to drive one or more meter rollers to rotate.”) Claim 20 recites a system to perform the methods of claim 12. Therefore, is rejected for the same reasoning. Claims 4 and 15 are rejected under 35 U.S.C. 103 as being obvious in view of Thompson as evidenced by Dennis, and further evidenced by Karlsson (US12239042B2). Regarding claim 4, Thompson in combination with Dennis discloses all the limitations of claim 3. Additionally Karlsson discloses the control system is further configured, in performing the material rate calibration operation, to: determine one or more causes of the material application rate error based on sensor data indicative of one or more operating characteristics of the mobile agricultural material application machine. ([0014]; “By means of the method step of determining a static pressure in each of the at least two ducts based on signals from the sensor units, a value of current static pressure in each of the at least two ducts are determined. By comparing the determined values of static pressure, deviating static pressure in any of the at least two ducts is detected. The deviation thus corresponds to, and indicates, an abnormal product flow in the duct with a deviating static pressure.” Note: One of ordinary skill in the art would be capable of utilizing the sensor data taught by Karlsson and modify it to be able to determine whether any detections found from the sensors are responsible for the application rate error.) It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Thompson with Dennis and Karlsson. This modification would have been obvious because both Thompson, Dennis, and Karlsson cover subject matter within the same field of endeavor (agricultural material application) and it would have been beneficial to determine the cause of the application rate error. Regarding claim 15, Thompson in combination with Dennis discloses all the limitations of claim 13. Additionally Thompson discloses determining, based on the speed sensor data, as a cause of the material application rate error, the travel speed variability or a stored material application rate relationship describing a relationship between travel speed of the mobile agricultural material application machine, actuation of a material meter of the mobile agricultural material application machine, and material application rate. ([0023]; “In further embodiments, the drive system 44 may be coupled to a wheel (e.g., via a gear system) such that rotation of the wheel drives the meter roller 42 to rotate. Such a configuration automatically varies the rotation rate of the meter roller 42 based on the speed of the air cart.” Note: One of ordinary skill in the art would recognize that since the speed of the meter roller is updated in relation to the speed of the air cart that once the calibration system updates the application rate the relationship between the speed of the air cart and the roller is updated.) Although Thompson teaches a calibration operation, Thompson does not explicitly teach the use of speed sensors during the calibration process. However, Karlsson within the same field of endeavor discloses performing the material application rate calibration operation further comprises: obtaining speed sensor data indicative of a travel speed variability of the mobile agricultural material application machine ([0044]; “The control device 100 may also be arranged in communication with a speed sensor (not shown) for determining the current speed of the agricultural implement 1 or the current speed of the tractor or working vehicle hauling the agricultural implement 1.”); and It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Thompson with Dennis and Karlsson. This modification would have been obvious because both Thompson, Dennis, and Karlsson cover subject matter within the same field of endeavor (agricultural material application) and it would have been beneficial to determine the cause of the application rate error by utilizing sensor data. Claim 5 is rejected under 35 U.S.C. 103 as being obvious in view of Thompson as evidenced by Dennis and Karlsson as applied to claim 4 above, and further in view of Schoeny et al. (CA3019987C; hereafter Schoeny). Regarding claim 5, Thompson in combination with Dennis and Karlsson discloses all the limitations of claim 4. Additionally Karlson discloses a speed sensor configured to detect a travel speed variability of the mobile agricultural material application machine and generate, as part of the sensor data indicative of the one or more operating characteristics of the mobile agricultural material application machine, speed sensor data; ([0044]; “The control device 100 may also be arranged in communication with a speed sensor (not shown) for determining the current speed of the agricultural implement 1 or the current speed of the tractor or working vehicle hauling the agricultural implement 1.”) Although the combination of Thompson and Karlsson teach utilizing sensors to determine the cause of application errors. The combination of Thompson and Karlsson does teach utilizing blower sensors, pressure sensors, and level sensors. However Schoeny within the same field of endeavor does teach a blower sensor configured to detect a speed of a blower of the mobile agricultural material application machine and generate, as part of the sensor data indicative of the one or more operating characteristics of the mobile agricultural material application machine, blower speed sensor data; ([0035]; “an airflow sensor 79 for monitoring an airflow level applied to the seed transport member, and/or a rotary encoder (not shown in FIG. 2) for monitoring the rotation of the seed transport member within the seed meter 100.”) a tank pressure sensor configured to detect an air pressure within one of the one or more material tanks and generate, as part of the sensor data indicative of the one or more operating characteristics of the mobile agricultural material application machine, tank pressure sensor data; and ([0035]; “The seed meter 100 may also include or be provided in operative association with one or more additional sensors, such as a vacuum sensor 78 for monitoring the vacuum or negative pressure being applied within the seed meter”) a material level sensor configured to detect a material level of material within one of the one or more tanks and generate, as part of the sensor data indicative of the one or more operating characteristics of the mobile agricultural material application machine, material level sensor data; ([0053]; “For example, in another embodiment, the seed pool sensor 102 may be configured to detect the fill-level or vertical height of the seeds within the seed chamber 124”) and wherein the one or more causes comprise: (i) blower speed; (ii) travel speed variability; (iii) tank pressure; (iv) material level; or (v) a combination of (i), (ii), (iii), and (iv). (Note: One of ordinary skill in the art would recognize that the determination of the cause of the error in application rate would be derived from either one or a combination of the above sensor data.) It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Thompson with Dennis, Karlsson and Schoeny. This modification would have been obvious because both Thompson, Dennis, Karlsson, and Schoeny cover subject matter within the same field of endeavor (agricultural material application) and it would have been beneficial to determine the cause of the application rate error by utilizing the different types of sensors taught by Schoeny. Claims 14, 16, and 17 are rejected under 35 U.S.C. 103 as being obvious in view of Thompson as evidenced by Dennis, and further evidenced by Schoeny. Regarding claim 14, Thompson in combination with Dennis discloses all the limitations of claim 13. Additionally Thompson discloses determining, based on the blower speed sensor data, as a cause of the material application rate error, the speed of the blower or a stored material application rate relationship describing a relationship between travel speed of the mobile agricultural material application machine, actuation of a material meter of the mobile agricultural material application machine, and material application rate. ([0023]; “In further embodiments, the drive system 44 may be coupled to a wheel (e.g., via a gear system) such that rotation of the wheel drives the meter roller 42 to rotate. Such a configuration automatically varies the rotation rate of the meter roller 42 based on the speed of the air cart.” Note: One of ordinary skill in the art would recognize that since the speed of the meter roller is updated in relation to the speed of the air cart that once the calibration system updates the application rate the relationship between the speed of the air cart and the roller is updated.) Although Thompson teaches a calibration operation, Thompson does not explicitly teach the use of blower speed sensors during the calibration process. However, Schoeny within the same field of endeavor discloses obtaining blower speed sensor data indicative of a speed of a blower of the mobile agricultural material application machine ([0035]; “an airflow sensor 79 for monitoring an airflow level applied to the seed transport member, and/or a rotary encoder (not shown in FIG. 2) for monitoring the rotation of the seed transport member within the seed meter 100.”) It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Thompson with Dennis and Schoeny. This modification would have been obvious because both Thompson, Dennis, and Schoeny cover subject matter within the same field of endeavor (agricultural material application) and it would have been beneficial to determine the cause of the application rate error by utilizing sensor data. Regarding claim 16, Thompson in combination with Dennis discloses all the limitations of claim 13. Additionally Thompson discloses determining, based on the material level sensor data, as a cause of the material application rate error, the material level of material in one of the one or more material tanks of the mobile agricultural material application machine or a stored material application rate relationship describing a relationship between travel speed of the mobile agricultural material application machine, actuation of a material meter of the mobile agricultural material application machine, and material application rate. ([0023]; “In further embodiments, the drive system 44 may be coupled to a wheel (e.g., via a gear system) such that rotation of the wheel drives the meter roller 42 to rotate. Such a configuration automatically varies the rotation rate of the meter roller 42 based on the speed of the air cart.” Note: One of ordinary skill in the art would recognize that since the speed of the meter roller is updated in relation to the speed of the air cart that once the calibration system updates the application rate the relationship between the speed of the air cart and the roller is updated.) Although Thompson teaches a calibration operation, Thompson does not explicitly teach the use of level sensors during the calibration process. However, Schoeny within the same field of endeavor discloses obtaining material level sensor data indicative of a material level of material in one of the one or more tanks of the mobile agricultural material application machine ([0053]; “For example, in another embodiment, the seed pool sensor 102 may be configured to detect the fill-level or vertical height of the seeds within the seed chamber 124”) It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Thompson with Dennis and Schoeny. This modification would have been obvious because both Thompson, Dennis, and Schoeny cover subject matter within the same field of endeavor (agricultural material application) and it would have been beneficial to determine the cause of the application rate error by utilizing sensor data. Regarding claim 17, Thompson in combination with Dennis discloses all the limitations of claim 13. Additionally Thompson discloses determining, based on the tank pressure sensor data, as a cause of the material application rate error, the tank pressure of the one of the one or more material tanks of the mobile agricultural material application machine or a stored material application rate relationship describing a relationship between travel speed of the mobile agricultural material application machine, actuation of a material meter of the mobile agricultural material application machine, and material application rate. ([0023]; “In further embodiments, the drive system 44 may be coupled to a wheel (e.g., via a gear system) such that rotation of the wheel drives the meter roller 42 to rotate. Such a configuration automatically varies the rotation rate of the meter roller 42 based on the speed of the air cart.” Note: One of ordinary skill in the art would recognize that since the speed of the meter roller is updated in relation to the speed of the air cart that once the calibration system updates the application rate the relationship between the speed of the air cart and the roller is updated.) Although Thompson teaches a calibration operation, Thompson does not explicitly teach the use of pressure sensors during the calibration process. However, Schoeny within the same field of endeavor discloses obtaining tank pressure sensor data indicative of an air pressure of one of the one or more tanks of the mobile agricultural material application machine ([0035]; “The seed meter 100 may also include or be provided in operative association with one or more additional sensors, such as a vacuum sensor 78 for monitoring the vacuum or negative pressure being applied within the seed meter”) It would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention to have modified Thompson with Dennis and Schoeny. This modification would have been obvious because both Thompson, Dennis, and Schoeny cover subject matter within the same field of endeavor (agricultural material application) and it would have been beneficial to determine the cause of the application rate error by utilizing sensor data. Conclusion THIS ACTION IS MADE FINAL. Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to BRANDON SUNG EUN LEE whose telephone number is (571)272-5684. The examiner can normally be reached Monday - Friday 9:00 am - 5:00 pm. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, James Lee can be reached on (571) 270-5965. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /B.S.L./Examiner, Art Unit 3668 /JAMES J LEE/Supervisory Patent Examiner, Art Unit 3668
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Prosecution Timeline

Apr 08, 2024
Application Filed
Oct 07, 2025
Non-Final Rejection — §103
Jan 05, 2026
Response Filed
Mar 20, 2026
Final Rejection — §103 (current)

Precedent Cases

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
77%
Grant Probability
99%
With Interview (+33.3%)
2y 2m
Median Time to Grant
Moderate
PTA Risk
Based on 13 resolved cases by this examiner. Grant probability derived from career allow rate.

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