Prosecution Insights
Last updated: October 04, 2026
Application No. 18/699,106

METHOD AND SYSTEM FOR PROVIDING A SITE SPECIFIC FERTILIZER RECOMMENDATION

Final Rejection §101
Filed
Apr 05, 2024
Priority
Oct 07, 2021 — EU 21201468.2 +1 more
Examiner
BUCK, MATTHEW R
Art Unit
3672
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Yara International ASA
OA Round
2 (Final)
83%
Grant Probability
Favorable
3-4
OA Rounds
0m
Est. Remaining
98%
With Interview

Examiner Intelligence

Grants 83% — above average
83%
Career Allowance Rate
1535 granted / 1843 resolved
+31.3% vs TC avg
Moderate +14% lift
Without
With
+14.4%
Interview Lift
resolved cases with interview
Fast prosecutor
2y 0m
Avg Prosecution
38 currently pending
Career history
1870
Total Applications
across all art units

Statute-Specific Performance

§101
0.6%
-39.4% vs TC avg
§103
41.1%
+1.1% vs TC avg
§102
22.3%
-17.7% vs TC avg
§112
30.0%
-10.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1843 resolved cases

Office Action

§101
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 . Allowable Subject Matter Claims 16-27 are allowed over the prior art of record. Claim 16 would be allowable if rewritten or amended to overcome the rejection under 35 U.S.C. 101, set forth in the previous office action. Claim 16, drafted by the examiner and considered to overcome the rejection under 35 U.S.C. 101 based on applicant’s argument of integrating the abstract idea into a practical application, is presented to applicant for consideration: A computer-implemented method for providing a variable fertilizer recommendation for a crop, the method comprising steps of: a. determining at least one agricultural field comprising at least one crop; b. determining a crop nutrient status for the at least one crop in the at least one agricultural field, wherein determining the crop nutrient status for the at least one crop in the at least one agricultural field comprises: i. determining a baseline value and an in-field variability for the crop nutrient status of the at least one agricultural field; ii. wherein determining the baseline value and the in-field variability comprises: 1. receiving remote data, the remote data comprising image data of the at least one agricultural field; 2. generating at least one first vegetation index indicative of a crop nutrition status based on the image data and determining the baseline value based on the at least one first vegetation index; 3. generating at least one second vegetation index indicative of a crop nutrition status based on the image data and determining the in-field variability based on the at least one second vegetation index; 4. wherein the at least one first vegetation index for determining the baseline value is defined as SX = f (RXXX(1), RXXX(2) RXXX(i) RXXX(n)), wherein RXXX(i) for i=1 n represent a plurality of reflectance data related to a given wavelength, comprised in the remote data, and f is a predetermined mathematical relation, 5. wherein the at least one second vegetation index for determining the in-field variability is defined as SX' = f' (RXXX(1), RXXX(2), RXXX(i), , RXXX(n)) wherein f is a same mathematical relation as present for the at least one first vegetation index for determining the baseline value, wherein the at least one RXXX(i) included in the at least one second vegetation index for determining the in- field variability replaces at least one of the reflectance data included in the at least one first vegetation index for determining the baseline value and the at least one RXXX(i) represents reflectance data related to a different wavelength from the at least one reflectance data replaced; iii. determining the crop nutrient status based on the baseline value and on the in-field variability; c. determining the variable fertilizer recommendation for the at least one agricultural field based on the determined crop nutrient status, wherein the variable fertilizer recommendation is configured to be implemented by an agricultural apparatus to carry out a corresponding fertilizer application. The following is a statement of reasons for the indication of allowable subject matter: the prior art of record does not appear to anticipate and/or render obvious a computer-implemented method for providing a variable fertilizer recommendation for a crop, the method comprising steps of: a. determining at least one agricultural field comprising at least one crop; b. determining a crop nutrient status for the at least one crop in the at least one agricultural field, wherein determining the crop nutrient status for the at least one crop in the at least one agricultural field comprises: i. determining a baseline value and an in-field variability for the crop nutrient status of the at least one agricultural field; ii. wherein determining the baseline value and the in-field variability comprises: 1. receiving remote data, the remote data comprising image data of the at least one agricultural field; 2. generating at least one first vegetation index indicative of a crop nutrition status based on the image data and determining the baseline value based on the at least one first vegetation index; 3. generating at least one second vegetation index indicative of a crop nutrition status based on the image data and determining the in-field variability based on the at least one second vegetation index; 4. wherein the at least one first vegetation index for determining the baseline value is defined as SX = f (RXXX(1), RXXX(2) RXXX(i) RXXX(n)), wherein RXXX(i) for i=1 n represent a plurality of reflectance data related to a given wavelength, comprised in the remote data, and f is a predetermined mathematical relation, 5. wherein the at least one second vegetation index for determining the in-field variability is defined as SX' = f' (RXXX(1), RXXX(2), RXXX(i), , RXXX(n)) wherein f is a same mathematical relation as present for the at least one first vegetation index for determining the baseline value, wherein the at least one RXXX(i) included in the at least one second vegetation index for determining the in- field variability replaces at least one of the reflectance data included in the at least one first vegetation index for determining the baseline value and the at least one RXXX(i) represents reflectance data related to a different wavelength from the at least one reflectance data replaced; iii. determining the crop nutrient status based on the baseline value and on the in-field variability; c. determining the variable fertilizer recommendation for the at least one agricultural field based on the determined crop nutrient status, wherein the variable fertilizer recommendation is configured to be implemented by an agricultural apparatus to carry out a corresponding fertilizer application. Raun et al. (WO 03/009669) shows the use of NDVI and reflectance-based fertilizer decision making, but does not disclose generating at least one first vegetation index indicative of a crop nutrition status based on the image data and determining the baseline value based on the at least one first vegetation index, generating at least one second vegetation index indicative of a crop nutrition status based on the image data and determining the in-field variability based on the at least one second vegetation index, wherein the at least one first vegetation index for determining the baseline value is defined as SX = f (RXXX(1), RXXX(2) RXXX(i) RXXX(n)), wherein RXXX(i) for i=1 n represent a plurality of reflectance data related to a given wavelength, comprised in the remote data, and f is a predetermined mathematical relation, wherein the at least one second vegetation index for determining the in-field variability is defined as SX' = f' (RXXX(1), RXXX(2), RXXX(i), , RXXX(n)) wherein f is a same mathematical relation as present for the at least one first vegetation index for determining the baseline value, wherein the at least one RXXX(i) included in the at least one second vegetation index for determining the in-field variability replaces at least one of the reflectance data included in the at least one first vegetation index for determining the baseline value and the at least one RXXX(i) represents reflectance data related to a different wavelength from the at least one reflectance data replaced. Response to Arguments Applicant’s arguments, filed 07/01/2026, with respect to the previous rejection have been fully considered and are persuasive. Therefore, the rejection has been withdrawn. 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 MATTHEW R BUCK whose telephone number is (571)270-3653. The examiner can normally be reached Monday-Thursday 6:30-5. 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, Nicole Coy can be reached at (571)272-5405. 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. /MATTHEW R BUCK/Primary Examiner, Art Unit 3672
Read full office action

Prosecution Timeline

Apr 05, 2024
Application Filed
Apr 30, 2026
Non-Final Rejection mailed — §101
Jul 01, 2026
Response Filed
Sep 16, 2026
Final Rejection mailed — §101 (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
83%
Grant Probability
98%
With Interview (+14.4%)
2y 0m (~0m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 1843 resolved cases by this examiner. Grant probability derived from career allowance rate.

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