DETAILED ACTION
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 Arguments
Applicant’s amendments to claim 14 are acknowledged. The 35 U.S.C. §112(f) interpretation is hereby withdrawn.
Applicant’s arguments with respect to the rejections of claims 1 and 20 under 35 U.S.C. §103 have been fully considered and are persuasive. Therefore, the rejection has been withdrawn. However, upon further consideration, a new ground(s) of rejection is made in view of further limiting amendments made to the claims, changing the scope of the claimed invention.
Applicant’s arguments with respect to the rejections of claim 14 under 35 U.S.C. §103 have been fully considered but are not persuasive. As discussed in further detail below, Examiner finds that Diekhans does teach the argued limitations. See at least [0022]-[0023] of Diekhans, wherein known distances between fields are used to calculate travel times for a harvester to travel between fields that are spatially separated from one another. See at least [0032]-[0036], wherein the harvester’s travel time between sub-areas is compared to the available transport capacity to determine a path plan for the harvester. The path plan defines which sub-areas and which order to visit the sub-areas for a harvester.
Claim Rejections - 35 USC § 103
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.
Claims 1-3, 5-6, and 9-13 are rejected under 35 U.S.C. 103 as being unpatentable over US 20180232674 A1, with an earliest priority date of 11/05/2015, hereinafter “Bilde”, in view of EP 2174537 A1 (see attached translation), published 04/14/2010, hereinafter “Diekhans”, further in view of US 20180046735 A1, filed 08/11/2016, hereinafter “Xu”.
Regarding claim 1, Bilde teaches a system for improving harvest production performance, the system comprising: an agricultural harvester configured to harvest a crop; and a controller comprising a processor for processing instructions and data, and memory for storing the instructions and the data. See at least [0056]-[0057], [0072], [0121]-[0125], [0146]-[0147], figure 1, and figure 4, wherein combine 14 is configured to harvest crops based on path plans generated by a system 30 including a computer 32 comprising a memory, processor, and stored instructions.
the controller configured to: identify crop transport availability during a harvesting operation, wherein the crop transport availability comprises data representing an out of field transport system characteristic. See at least [0094]-[0106], wherein the system identifies parameters regarding transport vehicles. The parameters include data representing characteristics such as transport capacity and load for grain cart units 16. The grain carts include both in-field and on-road carts which transport the harvested grain out of field to a facility.
and identify a predictive harvesting path for the agricultural harvester based at least on the identified crop transport availability and the third productivity index. See at least [0128]-[0131], [0139]-[0140], and figure 3, wherein input parameters are used to generate an optimized path plan for the combine. The input parameters include a second set of parameters related to grain transport, including the transport capacity of the grain cart units. The input parameters additionally include a first set of parameters related to the crop field, including an estimated crop yield and crop quality of the field.
wherein the third productivity index is representative of a predicted harvest rate for the crop. See at least [0058]-[0071] and figure 3, wherein the yield parameter represents the estimated crop yield for field 12. The yield parameter is variable, meaning that the yield estimate changes over time as the combine harvests (i.e., a rate).
and wherein the predictive harvesting path is used to guide the agricultural harvester to an area of the field that will provide the improved harvest production performance. See at least [0160]-[0164], and figures 6A-C, wherein the generated optimized path plan for the combine is output to the combine. The combine performs at least part of the path plans, or tasks, using auto-steering. See at least [0140]-[0142] and [0156], wherein the path plans are optimized to minimize costs associated with operation, the costs including a time to execute the harvest or an operational cost associated with the harvest.
Bilde remains silent on identify a first zone of a field in which the agricultural harvester is operating, the first zone having a first productivity index; identify a second zone of the field in which the agricultural harvester is operating, the second zone having a second productivity index; merge, based on a criterion, the first zone and the second zone to generate a third zone of the field in which the agricultural harvester is operating, the third zone having a third productivity index; and on the productivity index being representative of a harvest in a location in the field. As discussed above, Bilde’s crop yield is a single parameter (estimated yield) for an entire field, rather than a rate for different locations in the field.
Diekhans teaches identify a first zone of a field in which the agricultural harvester is operating, the first zone having a first productivity index; identify a second zone of the field in which the agricultural harvester is operating, the second zone having a second productivity index; a harvest in a location in the field. See at least [0011], [0035]-[0036], and figures 3-4, wherein data regarding an area yield of crops in the field is obtained for different sub-areas of a crop field.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to modify Bilde with Diekhans’ technique of utilizing a productivity index representing a predicted crop yield in a location in the field. It would have been obvious to modify because doing so enables agricultural systems to more accurately estimate the resources needed to harvest a crop field. This allows planning systems to better plan for the number of agricultural machines deployed, increasing operational efficiency, as recognized by Diekhans (see at least [0004]-[0012]).
Xu teaches merge, based on a criterion, the first zone and the second zone to generate a third zone of the field in which the agricultural harvester is operating, the third zone having a third productivity index. See at least [0157]-[0160] and figure 7, step 714, wherein a set of management zones are delineated based on yield data. Some of the zones may be merged based on analysis. See at least [0222]-[0227] and Table 1, which shows the algorithm and criterion used to merge zones. See at least [0236]-[0241] and figure 9, wherein, after merging two zones, the merged zone is assigned the zone/class labels of the larger zone. See at least [0140], [0150], and [0206], wherein the class of a zone represents the productivity of the zone.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to further modify Bilde with Xu’s technique of merging two zones to generate a third zone, the third zone having a third productivity index. It would have been obvious to modify because doing so enables growers to better customize their crop management for different zones in their field, increasing crop productivity and harvested yields, as recognized by Xu (see at least [0003]-[0005]).
Regarding claim 2, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 1 as discussed above, and Bilde additionally teaches wherein the out of field transport system characteristic comprises an availability of a grain cart to receive the harvested crop from the agricultural harvester, the grain cart availability comprising a current availability and a predicted availability. See at least [0094]-[0106], wherein the system identifies parameters regarding transport vehicles, including the transport capacity and load for grain cart units 16. See at least [0139] and [0171]-[0175], wherein the current available capacity of a grain cart unit is calculated based on the cart’s transport capacity and sensed load. A simulation is also performed to predict the grain cart’s available capacity after receiving grain unloaded from the combine.
Regarding claim 3, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 1 as discussed above, and Bilde additionally teaches wherein the out of field transport system characteristic comprises an availability of a grain truck transport to receive the harvested crop from a grain cart, the grain truck availability comprising a current availability and a predicted availability. See at least [0094]-[0106], [0139], [0179]-[0175] wherein the system identifies parameters regarding the current and simulated available capacity of the grain units. Additionally, see at least [0013] and [0095], wherein the grain cart units include in-field grain carts, and on-road grain cart units. The on-road grain cart units include highway trucks which transport the grain to an external facility.
Regarding claim 5, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 1 as discussed above, and Bilde remains silent on wherein the third productivity index is one of: the first productivity index or the second productivity index.
Xu teaches wherein the third productivity index is one of: the first productivity index or the second productivity index. See at least [0236]-[0241] and figure 9, wherein, after merging two zones, the merged zone is assigned the zone/class labels of the larger zone. See at least [0140], [0150], and [0206], wherein the class of a zone represents the productivity of the zone.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to further modify Bilde with Xu’s technique of the productivity index of a merged zone being either the first or second productivity index from the two initial zones. It would have been obvious to modify because doing so enables growers to better customize their crop management for different zones in their field, increasing crop productivity and harvested yields, as recognized by Xu (see at least [0003]-[0005]).
Regarding claim 6, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 1 as discussed above, and Bilde additionally teaches wherein the out of field transport system characteristic comprises a rate of transport by a grain cart of the harvested crop from the agricultural harvester to a grain transport truck. See at least [0034] and [0094]-[0106], wherein the grain transport units include in-field grain carts which transport crops from the combine to an on-road grain cart unit (grain transport truck), and their associated parameters include a speed.
Regarding claim 9, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 1 as discussed above, and Bilde remains silent on wherein the criterion includes one or more of: a proximity between the first zone and the second zone; a similarity between the first zone and the second zone; a proximity between the first productivity index and the second productivity index; and a similarity between the first productivity index and the second productivity index.
Xu teaches wherein the criterion includes one or more of: a proximity between the first zone and the second zone; a similarity between the first zone and the second zone; a proximity between the first productivity index and the second productivity index; and a similarity between the first productivity index and the second productivity index. See at least [0223]-[0227] and Table 1, wherein the algorithm used for determining whether to merge zones is based on a similarity between the pair of zones based on their yield observations. The similarity between two zones is based on the distance and similarity of individual yield observations between both zones. Only neighboring pairs, i.e. zone pairs that satisfy the nearest 4-neighbor rule, are considered for merging.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to further modify Bilde with Xu’s criterion for merging. It would have been obvious to modify because doing so enables growers to better customize their crop management for different zones in their field, increasing crop productivity and harvested yields, as recognized by Xu (see at least [0003]-[0005]).
Regarding claim 10, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 1 as discussed above, and Bilde additionally teaches comprising a mapping subsystem that generates a field map to guide the agricultural harvester based on the predictive harvesting path. See at least [0161]-[0162] and figures 6A-C, wherein a graphical representation of the field is generated to represent the optimized path plan. The map is used to guide the combine to perform tasks of the path plan.
Regarding claim 11, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 10 as discussed above, and Bilde additionally teaches comprising a user display that displays the generated field map to an operator of the agricultural harvester. See at least [0161]-[0162] and figures 6A-C, wherein a graphical representation of the field is generated to represent the optimized path plan. The map is used to guide the combine to perform tasks of the path plan. The map is displayed on a driver terminal 50 for the driver of the combine.
Regarding claim 12, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 1 as discussed above, and Bilde additionally teaches comprising a harvester control subsystem that controls the agricultural harvester based on the predictive harvesting path. See at least [0162]-[0164], wherein tasks in the path plan are performed by the combine in an auto-steering control mode.
Regarding claim 13, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 12 as discussed above, and Bilde additionally teaches the harvester control subsystem comprising one or more of: a harvester propulsion control and a harvester steering control. See at least [0162]-[0164], wherein tasks in the path plan are performed by the combine in an auto-steering control mode.
Claims 4 and 7-8 are rejected under 35 U.S.C. 103 as being unpatentable over Bilde, Diekhans, and Xu in combination as applied to claim 1 above, and further in view of US 20220122197 A1, PCT filed 08/14/2019, hereinafter “Hanrieder”.
Regarding claim 4, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 1 as discussed above, and Bilde additionally teaches wherein the out of field transport system characteristic comprises a status of the transport system, the status comprising one or more of: time for transporting the harvested crop off site. See at least [0034], wherein the parameters include a journey time for the grain cart unit to transport the harvested grain from the harvester to an off-site storage facility.
a rate of transport of the crop off site. See at least [0034], wherein the parameters include an unloading rate of the grain cart unit.
a time for grain truck availability after unloading of harvested crop off site. see at least [0034], wherein the parameters include a time where the grain cart unit is absent from the field as it unloads the harvested grain at the off-site storage facility.
Bilde remains silent on the status comprising a wait time at harvested crop unloading site; and identified off site traffic impacts. Under broadest reasonable interpretation, the limitation “the status comprising one or more of” in claim 4 indicates that Bilde alone reads on claim 4, as Bilde teaches one of the listed statuses. However, in view of compact prosecution, the additional limitations are also rejected below.
Hanrieder teaches the status comprising a wait time at harvested crop unloading site; and identified off site traffic impacts. See at least [0030] and [0039], wherein transport system status indicators are displayed, identifying a wait time at a silo for transport vehicles, and any traffic or road hazards during operation.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to further modify Bilde with Hanrieder’s transport system statuses including a wait time at a harvested crop unloading site and identified off site traffic impacts. It would have been obvious to modify because doing so enables agricultural operations to increase efficiency by coordinating timing between harvest vehicles and transport vehicles, as recognized by Hanrieder (see at least [0003]-[0005] and [0013]).
Regarding claim 7, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 1 as discussed above, and Bilde remains silent on wherein the predicted harvest rate for the crop in the location in the field comprises an amount of harvested crop over an area, or amount of harvested crop over a period of time.
Hanrieder teaches wherein the predicted harvest rate for the crop in the location in the field comprises an amount of harvested crop over an area, or amount of harvested crop over a period of time. See at least [0037], wherein the harvest rate for the crop comprises an average crop flow per time or distance for a particular crop.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to further modify Bilde with Hanrieder’s predicted harvest rate comprising an amount of harvested crop over an area or period of time. It would have been obvious to modify because doing so enables agricultural operations to increase efficiency by coordinating timing between harvest vehicles and transport vehicles, as recognized by Hanrieder (see at least [0003]-[0005] and [0013]).
Regarding claim 8, Bilde, Diekhans, and Xu in combination teach all of the limitations of claim 1 as discussed above, and Bilde remains silent on wherein the predicted harvest rate for the crop in the location in the field comprises a mass of harvested crop per area or time, or volume of harvested crop per area or time.
Hanrieder teaches wherein the predicted harvest rate for the crop in the location in the field comprises a mass of harvested crop per area or time. See at least [0032], wherein the harvest rate is represented as a mass flow rate as a function of time or distance.
or volume of harvested crop per area or time. See at least [0034] and [0036], wherein the harvest rate is represented as a function of bushels per time or distance.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to further modify Bilde with Hanrieder’s predicted harvest rate comprising a mass or volume of harvested crop over an area or period of time. It would have been obvious to modify because doing so enables agricultural operations to increase efficiency by coordinating timing between harvest vehicles and transport vehicles, as recognized by Hanrieder (see at least [0003]-[0005] and [0013]).
Claims 14-19 are rejected under 35 U.S.C. 103 as being unpatentable over Bilde and Diekhans in combination.
Regarding claim 14, Bilde teaches a computer-based system for improving harvest production performance, the system comprising a processor for processing instructions and data, and memory for storing the instructions and the data. See at least [0056]-[0057], [0072], [0121]-[0125], [0146]-[0147], figure 1, and figure 4, wherein combine 14 is configured to harvest crops based on path plans generated by a system 30 including a computer 32 comprising a memory, processor, and stored instructions.
wherein the instructions, when processed by the processor, configure the processor to: identify a crop transport availability characteristic for a harvesting operation performed by at least one harvester in a field, wherein the crop transport availability characteristic is identified using data representative of the availability of one or more crop transport vehicles to offload harvested crop from the at least one harvester during the harvesting operation. See at least [0056]-[0057], [0072], [0121]-[0125], [0146]-[0147], figure 1, and figure 4, wherein combine 14 is configured to harvest crops. See at least [0094]-[0106], wherein the system identifies parameters regarding transport vehicles. The parameters include data representing characteristics such as transport capacity and load for grain cart units 16. The grain carts include both in-field and on-road carts which transport the harvested grain out of field to a facility. See at least [0094]-[0106], [0139], [0179]-[0175] wherein the system identifies parameters regarding the current and simulated available capacity of the grain units. Additionally, see at least [0013] and [0095], wherein the grain cart units include in-field grain carts, and on-road grain cart units. The on-road grain cart units include highway trucks which transport the grain to an external facility.
identify a harvesting path for the at least one harvester during the operation, the harvesting path for the at least one harvester identified using a productivity index for at least a portion of a field. See at least [0128]-[0131], [0139]-[0140], and figure 3, wherein input parameters are used to generate an optimized path plan for the combine. The input parameters include a second set of parameters related to grain transport, including the transport capacity of the grain cart units. The input parameters additionally include a first set of parameters related to the crop field, including an estimated crop yield and crop quality of the field.
wherein the productivity index for the at least the portion of the field is representative of a predicted harvest rate for the crop. See at least [0058]-[0071] and figure 3, wherein the yield parameter represents the estimated crop yield for field 12. The yield parameter is variable, meaning that the yield estimate changes over time as the combine harvests (i.e., a rate).
and generate, based on the comparison, a control signal to guide the at least one harvester to one of the paths. See at least [0160]-[0164], and figures 6A-C, wherein the generated optimized path plan for the combine is output to the combine. The combine performs at least part of the path plans, or tasks, using auto-steering. See at least [0140]-[0142] and [0156], wherein the path plans are optimized to minimize costs associated with operation, the costs including a time to execute the harvest or an operational cost associated with the harvest.
Bilde remains silent on provide a predicted crop harvesting rate that complements the identified crop transport availability, the productivity index being representative of a harvest in a location in the field, identify a first section of the harvesting path having a first productivity index; identify a second section of the harvesting path having a second productivity index; determine a distance between the first section of the harvesting path and the second section of the harvesting path; compare the crop transport availability characteristic and the distance, and guiding the harvester to one of: the first section of the harvesting path or the second section of the harvesting path. As discussed above, Bilde’s crop yield is a single parameter (estimated yield) for an entire field, rather than a rate for different locations in the field.
Diekhans teaches provide a predicted crop harvesting rate that complements the identified crop transport availability. See at least [0010], [0022]-[0023], [0032]-[0034], [0037], and figure 5, wherein the planning process predicts a time and crop quantity for a harvester to process a sub-area of the field and predicts a time and capacity for field and road transporters to transport the harvester’s tank contents. The planned path for the harvesters is calculated so the transport capacity and harvest capacity are compatible.
the productivity index being representative of a harvest in a location in the field, , identify a first section of the harvesting path having a first productivity index; identify a second section of the harvesting path having a second productivity index; See at least [0011], [0034]-[0037], and figure 5, wherein data regarding an area yield of crops in the field is obtained for different sub-areas of the fields. Each sub-area has its own section 9 of the route traveled by the harvester.
determine a distance between the first section of the harvesting path and the second section of the harvesting path, compare the crop transport availability characteristic and the distance. See at least [0022]-[0023], [0026], and [0032]-[0034], wherein the distances between fields are used to estimate the travel times for the harvester to travel between fields. The travel time between one sub-area and the next is then compared to the available transport capacity to determine a path plan for the harvester.
guiding the harvester to one of: the first section of the harvesting path or the second section of the harvesting path. See at least [0035], wherein, based on the comparison, the path plan for the harvesters is calculated, where an order of the sub-areas (path sections) is determined.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to modify Bilde with Diekhans’ technique of identifying a distance between two sections of the harvesting path having two different productivity indexes, comparing the distance to the transport capacity, and determining the harvester’s path based on the comparison. It would have been obvious to modify because doing so enables agricultural systems to more accurately estimate the resources needed to harvest a crop field. This allows planning systems to better plan for the number of agricultural machines deployed, increasing operational efficiency, as recognized by Diekhans (see at least [0004]-[0012]).
Regarding claim 15, Bilde and Diekhans in combination teach all of the limitations of claim 14 as discussed above, and Bilde remains silent on wherein the first portion of the harvesting path for the harvester comprises a location in the field with a lower productivity index, and wherein the second portion of the harvesting path for the at least one harvester comprises a location in the field with a higher productivity index.
Diekhans teaches wherein the first portion of the harvesting path for the harvester comprises a location in the field with a lower productivity index, and wherein the second portion of the harvesting path for the at least one harvester comprises a location in the field with a higher productivity index. See at least [0042]-[0044], wherein the harvesters at a field are planned to harvest a sub-area of the field with a high crop yield. If the available transport capacity can match the high productivity, then the harvesters continue to harvest the high-productivity subarea. If the available transport capacity is lower, and insufficient to meet the amount of expected harvested grain, then one of the harvesters is redirected to instead harvest another sub-area of the field with lower estimated yield.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to modify Bilde with Diekhans’ technique of directing a harvester to harvest a higher or lower productivity area of the field based on the available crop transport capacity. It would have been obvious to modify because doing so enables agricultural systems to more accurately estimate the resources needed to harvest a crop field. This allows planning systems to better plan for the number of agricultural machines deployed, increasing operational efficiency, as recognized by Diekhans (see at least [0004]-[0012]).
Regarding claim 16, Bilde and Diekhans in combination teach all of the limitations of claim 14 as discussed above, and Bilde remains silent on wherein the instructions, when processed by the processor, configure the processor to: identify a travel time for the at least one harvester to travel from the first portion of the harvesting path to the second portion of the harvesting path; and generate the control signal based on the comparison and the travel time.
Diekhans teaches wherein the instructions, when processed by the processor, configure the processor to: identify a travel time for the at least one harvester to travel from the first portion of the harvesting path to the second portion of the harvesting path; and generate the control signal based on the comparison and the travel time. See at least [0011], [0034]-[0037], and figure 5, wherein data regarding an area yield of crops in the field is obtained for different sub-areas of the fields. Each sub-area has its own section 9 of the route traveled by the harvester. See at least [0022]-[0023], [0026], and [0032]-[0034], wherein the distances between fields are used to estimate the travel times for the harvester to travel between fields. The travel time between one sub-area and the next is then compared to the available transport capacity to determine a path plan for the harvester. See at least [0035], wherein, based on the comparison, the path plan for the harvesters is calculated, where an order of the sub-areas (path sections) is determined.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to modify Bilde with Diekhans’ technique of identifying a distance and travel time between two sections of the harvesting path having two different productivity indexes, comparing the distance and travel time to the transport capacity, and determining the harvester’s path based on the comparison. It would have been obvious to modify because doing so enables agricultural systems to more accurately estimate the resources needed to harvest a crop field. This allows planning systems to better plan for the number of agricultural machines deployed, increasing operational efficiency, as recognized by Diekhans (see at least [0004]-[0012]).
Regarding claim 17, Bilde and Diekhans in combination teach all of the limitations of claim 14 as discussed above, and Bilde additionally teaches wherein the identified crop transport availability comprises an availability of a grain truck transport to receive the harvested crop from a grain cart, the grain truck availability comprising a current availability and a predicted availability. See at least [0094]-[0106], [0139], [0179]-[0175] wherein the system identifies parameters regarding the current and simulated available capacity of the grain units. Additionally, see at least [0013] and [0095], wherein the grain cart units include in-field grain carts, and on-road grain cart units. The on-road grain cart units include highway trucks which transport the grain to an external facility.
Regarding claim 18, Bilde and Diekhans in combination teach all of the limitations of claim 14 as discussed above, and Bilde remains silent on wherein the first productivity index is higher than the second productivity index.
Diekhans additionally teaches wherein the first productivity index is higher than the second productivity index. See at least [0042]-[0044], wherein the harvesters at a field are planned to harvest a sub-area of the field with a high crop yield. If the available transport capacity can match the high productivity, then the harvesters continue to harvest the high-productivity subarea. If the available transport capacity is lower, and insufficient to meet the amount of expected harvested grain, then one of the harvesters is redirected to instead harvest another sub-area of the field with lower estimated yield.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to modify Bilde with Diekhans’ technique of directing a harvester to harvest a higher or lower productivity area of the field based on the available crop transport capacity. It would have been obvious to modify because doing so enables agricultural systems to more accurately estimate the resources needed to harvest a crop field. This allows planning systems to better plan for the number of agricultural machines deployed, increasing operational efficiency, as recognized by Diekhans (see at least [0004]-[0012]).
Regarding claim 19, Bilde and Diekhans in combination teach all of the limitations of claim 14 as discussed above, and Bilde additionally teaches comprising a harvester control subsystem that controls the at least one harvester based on the identified harvesting path, the harvester control subsystem comprising one or more of: a harvester propulsion control and a harvester steering control. See at least [0162]-[0164], wherein tasks in the path plan are performed by the combine in an auto-steering control mode.
Claim 20 is rejected under 35 U.S.C. 103 as being unpatentable over Bilde, Diekhans, and US 20220382277 A1, with an earliest priority date of 05/26/2021, hereinafter “Nishii”.
Regarding claim 20, Bilde teaches A system for improving harvest production performance, the system comprising: an agricultural harvester configured to harvest a crop in a field during a harvesting operation; a controller comprising a processor for processing instructions and data, and memory for storing the instructions and the data. See at least [0056]-[0057], [0072], [0121]-[0125], [0146]-[0147], figure 1, and figure 4, wherein combine 14 is configured to harvest crops based on path plans generated by a system 30 including a computer 32 comprising a memory, processor, and stored instructions.
the controller configured to: identify crop transport availability during a harvesting operation, wherein the crop transport availability comprises data representing an out of field transport system characteristic. See at least [0094]-[0106], wherein the system identifies parameters regarding transport vehicles. The parameters include data representing characteristics such as transport capacity and load for grain cart units 16. The grain carts include both in-field and on-road carts which transport the harvested grain out of field to a facility.
and identify a predictive harvesting path for the harvester based at least on the identified crop transport availability and a productivity index for at least a portion of the field in which the agricultural harvester is operating. See at least [0128]-[0131], [0139]-[0140], and figure 3, wherein input parameters are used to generate an optimized path plan for the combine. The input parameters include a second set of parameters related to grain transport, including the transport capacity of the grain cart units. The input parameters additionally include a first set of parameters related to the crop field, including an estimated crop yield and crop quality of the field.
and a harvester control module that guides the harvester to an area of the field that will provide the improved harvest production performance using the predictive harvesting path for the harvester. See at least [0160]-[0164], and figures 6A-C, wherein the generated optimized path plan for the combine is output to the combine. The combine performs at least part of the path plans, or tasks, using auto-steering. See at least [0140]-[0142] and [0156], wherein the path plans are optimized to minimize costs associated with operation, the costs including a time to execute the harvest or an operational cost associated with the harvest.
the harvester control module comprising one or more of: a mapping subsystem that generates a field map to guide the harvester based on the predictive harvesting path. See at least [0161]-[0162] and figures 6A-C, wherein a graphical representation of the field is generated to represent the optimized path plan. The map is used to guide the combine to perform tasks of the path plan.
and a harvester control subsystem that controls the harvester based on the predictive harvesting path. See at least [0162]-[0164], wherein tasks in the path plan are performed by the combine in an auto-steering control mode.
wherein the productivity index for the at least the portion of the field is representative of a predicted harvest rate for the crop and a turn of the agricultural harvester. See at least [0058]-[0071] and figure 3, wherein the yield parameter represents the estimated crop yield for field 12. The yield parameter is variable, meaning that the yield estimate changes over time as the combine harvests (i.e., a rate). See at least [0020], [0134], and [0141], wherein the path optimization is also dependent on a number and type of headland turns made by the harvester
Bilde remains silent on the productivity index being representative of a harvest in a location in the field and a length of a turn of the harvester, and wherein the predictive harvesting path comprises a location in the field with a lower productivity index when the identified crop transport availability is lower, and the predictive harvesting path comprises a location in the field with a higher productivity index when the identified crop transport availability is higher. As discussed above, Bilde’s crop yield is a single parameter (estimated yield) for an entire field, rather than a rate for different locations in the field.
Diekhans teaches a harvest in a location in the field. See at least [0011], [0035]-[0036], and figure 4, wherein data regarding a surface yield of crops in the field is obtained. The yield is location-dependent and spatially resolving.
wherein the predictive harvesting path comprises a location in the field with a lower productivity index when the identified crop transport availability is lower, and the predictive harvesting path comprises a location in the field with a higher productivity index when the identified crop transport availability is higher. See at least [0042]-[0044], wherein the harvesters at a field are planned to harvest a sub-area of the field with a high crop yield. If the available transport capacity can match the high productivity, then the harvesters continue to harvest the high-productivity subarea. If the available transport capacity is lower, and insufficient to meet the amount of expected harvested grain, then one of the harvesters is redirected to instead harvest another sub-area of the field with lower estimated yield.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to modify Bilde with Diekhans’ technique of utilizing a productivity index representing a predicted crop yield in a location in the field and directing a harvester to harvest a higher or lower productivity area of the field based on the available crop transport capacity. It would have been obvious to modify because doing so enables agricultural systems to more accurately estimate the resources needed to harvest a crop field. This allows planning systems to better plan for the number of agricultural machines deployed, increasing operational efficiency, as recognized by Diekhans (see at least [0004]-[0012]).
Nishii teaches a length of a turn of the harvester. See at least [0058]-[0059], [0068], and figures 5 and7, wherein a route for the harvester is determined, including calculating a turning distance between portions of the route. The turning portions of the route are considered “empty traveling”. See at least [0105], wherein the work efficiency of the harvester is based on the empty traveling distance.
One having ordinary skill in the art, before the effective filing date of the claimed invention, would have found it obvious to further modify Bilde with Nishii’s technique of identifying a length of a turn of the harvester. It would have been obvious to modify because doing so enables harvester to travel and perform work more efficiently, as recognized by Nishii (see at least [0005]-[0010]).
Conclusion
Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). 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.
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/S.M.J./ Examiner, Art Unit 3667
/FARIS S ALMATRAHI/ Supervisory Patent Examiner, Art Unit 3667