Prosecution Insights
Last updated: October 02, 2026
Application No. 18/557,405

MEASURING SEED COTTON PROPERTIES USING NEAR INFRARED SENSING

Final Rejection §102§103
Filed
Oct 26, 2023
Priority
Jul 27, 2021 — provisional 63/203,549 +1 more
Examiner
HUTCHENS, CHRISTOPHER D.
Art Unit
3647
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Iowa State University Research Foundation Inc.
OA Round
2 (Final)
66%
Grant Probability
Favorable
3-4
OA Rounds
0m
Est. Remaining
77%
With Interview

Examiner Intelligence

Grants 66% — above average
66%
Career Allowance Rate
387 granted / 591 resolved
+13.5% vs TC avg
Moderate +12% lift
Without
With
+11.6%
Interview Lift
resolved cases with interview
Typical timeline
2y 10m
Avg Prosecution
21 currently pending
Career history
615
Total Applications
across all art units

Statute-Specific Performance

§101
1.0%
-39.0% vs TC avg
§103
45.4%
+5.4% vs TC avg
§102
25.0%
-15.0% vs TC avg
§112
27.5%
-12.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 591 resolved cases

Office Action

§102 §103
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 Amendment Applicant’s amendment necessitated new grounds of rejection. This action is made final in view of the new grounds of rejection. Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claims 1, 6-10, 12, 14-17 and 21 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Bull et al. (US 2020/0394580), hereinafter Bull. In re. claim 1, Bull teaches an agricultural machine (14) (fig. 2), comprising: a sensor array (one or more plant product sensing devices (34)) (para [0065]); and a computing device having a processor (para [0055]) executing computer-readable instructions to: control the sensor array to measure seed cotton (plant product may refer to seeds that are still attached to tissues of the mother plant that bore them (e.g., cotton)) (para [0058]) during harvesting by the agricultural machine to generate sensor readings (communicatively coupled to the processing system) (para [0065]); generate a wavelength profile for the seed cotton based on sensor readings acquired from the sensor array (emitted wavelength data) (para [0067]); and determine one or more properties of the seed cotton based on the wavelength profile, wherein the one or more properties include at least one of turnout constituents present in the seed cotton (material composition detection) (para [0067]), and a seed protein level in the seed cotton (protein content) (para [0067]). In re. claim 6, Bull teaches the agricultural machine of claim 1, further comprising a conveying duct, wherein the sensor array is mounted within the conveying duct (flow sampling and analysis system (FSAS) analysis chamber (46) within duct (42)) (para [0074]) (fig. 7). In re. claim 7, Bull teaches the agricultural machine of claim 1, further comprising an accumulator (opening and closing of control gate (66) allows accumulation of plant product) (para [0075]-[0076]), wherein the sensor array is mounted within the accumulator (flow sampling and analysis system (FSAS) analysis chamber (46) within control gate (66)) (fig. 7). In re. claim 8, Bull teaches the agricultural machine of claim 1, wherein the computing device further executes instructions to: determine a location in a cotton field at which the seed cotton was collected; and store the location in association with the one or more properties determined (By identifying when the mobile platform 14 and system 10 enter and exit a plot, the system 10 can generate a flow rate graph, or flow rate pattern, illustrating the variance in flow rate of plant product through the mass flow meter 18 as the mobile platform 14 and system 10 traverse the plot harvesting plant product from the respective row of plants) (para [0094]). In re. claim 9, Bull teaches the agricultural machine of claim 1, wherein the computing device further executes instructions to adjust a setting for a component of the agricultural machine based on the one or more properties of the seed cotton (the aspect sensor(s) 34 can be structured and operable to register when a reliable aspect reading has been captured on a sample. Whereafter, the processing system 30 can trigger actuation of the exit gate(s) 66 to open wider to evacuate all the remaining plant product from the plant product analysis chamber 46 and reset the system to receive the next sample) (para [0087]). In re. claim 10, Bull teaches the agricultural machine of claim 1, wherein the computing device further executes instructions to determine one or more predicted properties of the seed cotton based on the one or more properties (plant yield data) (para [0086]). In re. claim 12, Bull teaches the agricultural machine of claim 1, wherein the one or more properties of the seed cotton further include a moisture level in the seed cotton (the one or more plant product aspect sensor or sensing device 34 can comprise a plant product moisture content sensor) (para [0066]). In re. claim 14, Bull teaches the agricultural machine of claim 1, wherein the computing device further executes instructions to communicate quality data, based at least in part on the one or more properties (fiber quality) (para [0109]). In re. claim 15, Bull teaches the agricultural machine of claim 1, wherein the sensor array includes at least a near-infrared (NIR) sensor (para [0067]). In re. claim 16, Bull teaches the agricultural machine of claim 15, wherein the sensory array further includes an optical sensor (para [0067]). In re. claim 17, Bull teaches the agricultural machine of claim 16, wherein the computing device is further configured to combine data on the seed cotton acquired by the NIR sensor with data on the seed cotton acquired by the optical sensor, wherein the one or more properties of the seed cotton are determined based on the combined data (It is also envisioned that the sample(s) and any information regarding the sample(s), generated by the respective system, could be combined with any data or information collected from an “analytics suite” (e.g., cameras, soil samples, etc., disposed on a mobile platform 14) to assist in this process) (para [0109]). In re. claim 21, Bull teaches the agricultural machine of claim 14, wherein the computing device communicates the quality data to a gin ((communicatively connectable to a remote server network 94) provides the recited capability) (para [0092]). 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 2-5 are rejected under 35 U.S.C. 103 as being unpatentable over Bull as applied to claim 1 above, and further in view of Hall et al. (US 2014/0060348), hereinafter Hall. In re. claim 2, Bull fails to disclose a baler, wherein the sensor array is mounted in the baler. Hall teaches a baler (85, 90) (para [0015]), wherein the sensor array is mounted in the baler (fig. 1). Therefore, it would have been prima facie obvious to one having ordinary skill in the art at the time the invention was filed to have modified Bull to incorporate the teachings of Hall to have a baler, wherein the sensor array is mounted in the baler, for the predictable result of determining the properties of the seed cotton while also providing the function of forming a round bale of cotton. In re. claim 3, Bull as modified by Hall (see Hall) teach the agricultural machine of claim 2, wherein the computing device executes instructions to control the sensor array to measure the seed cotton when a bale in the baler is stationary (when cotton is stationary) (para [0017]). In re. claim 4, Bull as modified by Hall (see Hall) teach the agricultural machine of claim 2, wherein the computing device executes instructions to control the sensor array to measure the seed cotton when the baler is active (when the module builder is moving) (para [0021]). In re. claim 5, Bull as modified by Hall (see Hall) teach the agricultural machine of claim 2, wherein the computing device executes instructions to: rotate the bale when seed cotton is not be conveyed to the baler (when the feeder stops rotating) (para [0021]); and control the sensor array to measure the seed cotton while rotating (when the module builder is moving) (para [0021]). Claims 10-11 are rejected under 35 U.S.C. 103 as being unpatentable over Bull as applied to claim 1 above, and further in view of Stover (US 2010/0307120). In re. claims 10-11, Bull fails to disclose the computing device further executes instructions to determine one or more predicted properties of the seed cotton based on the one or more properties; wherein the one or more predicted properties include an estimate of respective quantities of trash, cotton, and seed present in the seed cotton Stover teaches one or more predicted properties of the seed cotton based on the one or more properties (Roughly 1500 pounds of seed cotton produces 500 pounds of lint, 700-800 pounds of seed and 200 pounds of trash) (para [0042]); wherein the one or more predicted properties include an estimate of respective quantities of trash, cotton, and seed present in the seed cotton (para [0042]). Therefore, it would have been prima facie obvious to one having ordinary skill in the art at the time the invention was filed to have modified Bull to incorporate the teachings of Stover to have the computing device execute instructions to determine one or more predicted properties of the seed cotton based on the one or more properties, for the purpose of communicating estimates of the quantities using known relationships, increasing the amount of information provided to the user). Response to Arguments Applicant’s arguments with respect to the claims above have been considered but are moot because the new ground of rejection does not rely on any reference applied in the prior rejection of record for any teaching or matter specifically challenged in the argument. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Carr et al. (US 2001/0055810) teaches the use of infrared spectroscopy (NIR) for analyzing grain is a conventional technique for detecting microconstituents of the grain including protein, oil, moisture, starch, acids, etc. (para [0002]). 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. Any inquiry concerning this communication or earlier communications from the examiner should be directed to Christopher D. Hutchens whose telephone number is (571)270-5535. The examiner can normally be reached M-F 9-5. 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, Kimberly Berona can be reached at 571-272-6909. 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. /C.D.H./ Primary Examiner Art Unit 3647 /Christopher D Hutchens/ Primary Examiner, Art Unit 3647
Read full office action

Prosecution Timeline

Oct 26, 2023
Application Filed
May 21, 2024
Response after Non-Final Action
Feb 26, 2026
Non-Final Rejection mailed — §102, §103
May 22, 2026
Response Filed
Aug 11, 2026
Final Rejection mailed — §102, §103 (current)

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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
66%
Grant Probability
77%
With Interview (+11.6%)
2y 10m (~0m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 591 resolved cases by this examiner. Grant probability derived from career allowance rate.

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