Prosecution Insights
Last updated: October 23, 2026
Application No. 18/784,632

Methods And Systems For Use In Processing Image Data Containing Position Data

Final Rejection §102
Filed
Jul 25, 2024
Priority
Jul 27, 2023 — provisional 63/529,327
Examiner
WILBURN, MOLLY K
Art Unit
2666
Tech Center
2600 — Communications
Assignee
Monsanto Technology LLC
OA Round
2 (Final)
90%
Grant Probability
Favorable
3-4
OA Rounds
0m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 90% — above average
90%
Career Allowance Rate
428 granted / 475 resolved
+28.1% vs TC avg
Moderate +9% lift
Without
With
+9.0%
Interview Lift
resolved cases with interview
Fast prosecutor
2y 0m
Avg Prosecution
19 currently pending
Career history
500
Total Applications
across all art units

Statute-Specific Performance

§101
16.0%
-24.0% vs TC avg
§103
35.3%
-4.7% vs TC avg
§102
28.5%
-11.5% vs TC avg
§112
10.5%
-29.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 475 resolved cases

Office Action

§102
DETAILED ACTION Claims 1-19 are currently pending. 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 . Information Disclosure Statement The information disclosure statement (IDS) submitted on 09/24/2024 has been considered by the Examiner. Response to Arguments I. Claim Interpretation Examiner agrees to remove the 112(f) interpretations in light of the Remarks filed 08/05/2026. II. Claim Rejections under 35 U.S.C. 102 a. Independent claim 1 Examiner agrees the current amendment overcomes the previous prior art of record and incorporates previously indicated allowable subject matter. The rejections are withdrawn and claim allowed. b. Independent claim 8 Applicant argues that Beaver does not disclose or teach identifying coordinates of a bounding box for feature as the coordinates specific to the feature. Examiner disagrees. At [0055] Beaver teaches the system may compare one or more spatial aspect of a first visual annotation of a first candidate plant trait instance depicted in a first stereo image to one or more spatial aspect of a second visual annotation of a second candidate plant trait instance depicted in a second stereo image. Beaver further teaches comparing the location of a bounding box in the first stereo image to a location of a second bounding box in a second image. Therefore, Beaver teaches that the location (coordinates) of a bounding box of a candidate plant trait (feature) are compared. Claim 8 remains rejected. Examiner notes Applicant states that claim 8 incorporates subject matter from claim 3, however, with “reference to the first and the second bounding boxes removed, and reference to the coordinates being specifically for a center of the second bounding box removed.” Therefore, the claim does not incorporate the allowable subject matter of claim 3 as discussed in the Non-Final Rejection mailed 05/05/2026. c. Independent claim 9 Examiner agrees the current amendment overcomes the previous prior art of record and incorporates previously indicated allowable subject matter. The rejections are withdrawn and claim allowed. III. New Claim 19 Examiner agrees claim 19 incorporates previously indicated allowable subject matter and is allowed herein. 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)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claims 8 is rejected under 35 U.S.C. 102(a)(2) as being anticipated by Beaver (US 2023/0136563, effectively filed 10/28/2021). Regarding claim 8, Beaver teaches: A non-transitory computer-readable storage medium including executable instructions for processing image data, which when executed by at least one processor, cause the at least one processor to: (Beaver [0073-75] computing device and memory) access image data specific to a plant, the image data including an image of the plant and depth data indicative of a range between the plant and a camera, which captured said image; (Beaver [0044] Starting at top, a left stereo image and a right stereo image may be captured using a stereoscopic vision sensor….See also [0049] Fig 3 depicts an example of how annotations of stereo images may be used to perform sparse depth estimation. In this example, the crops at issue are wheat plants but this is not meant to be limiting. Similar techniques may be applied to other type of crops, such as corn) identify, using a trained model, a bounding box for a feature of the plant, the trained model including convolutional neural network (CNN) model; (Beaver [0066] Accordingly, imagery captured by stereoscopic camera is processing using a machine learning model such as a CNN to detected and annotate the bottoms of wheat heads with key points. See also [0055] At block 402, the system, e.g., by way of matching module 118, may compare one or more spatial aspects of a first visual annotation of a first candidate plant trait instance depicted in a first stereo image (e.g., 226) to one or more spatial aspects of a second visual annotation of a second candidate plant trait instance depicted in a second stereo image (e.g., 228). For example, matching module 118 may compare a width, height, area, and/or location of a bounding box in the first stereo image to corresponding spatial aspects of one or more candidate bounding boxes in the second stereo image.) identify coordinates of the bounding box for the feature as coordinate specific to the feature; (Beaver[0055] At block 402, the system, e.g., by way of matching module 118, may compare one or more spatial aspects of a first visual annotation of a first candidate plant trait instance depicted in a first stereo image (e.g., 226) to one or more spatial aspects of a second visual annotation of a second candidate plant trait instance depicted in a second stereo image (e.g., 228). For example, matching module 118 may compare a width, height, area, and/or location of a bounding box in the first stereo image to corresponding spatial aspects of one or more candidate bounding boxes in the second stereo image) transform the coordinates specific to the feature into a height dimension of the feature of the plant; (Beaver [0066] Accordingly, imagery captured by stereoscopic camera is processing using a machine learning model such as a CNN to detected and annotate the bottoms of wheat heads with key points ([0049]Similar techniques may be applied to other type of crops, such as corn). ..[0067] the height of the second plant can be determined based on y-coordinate and a known height H of the stereoscopic camera) and store the dimension of the feature of the plant in a memory. (Beaver [0064] the system may cause the output to be provided..[0069] storage subsystem including memory subsystem) Allowable Subject Matter Claims 1-7 and 9-19 are allowed. Regarding claim 1, neither the closest known prior art, nor any reasonable combination thereof, teaches: identifying coordinates of the second bounding box for the node as said coordinates specific to the feature. Beaver teaches the use of bounding boxes and disparity between bounding boxes to determine matching pairs of plants. See [0019]. However Beaver fails to teach identifying the center coordinates of a bounding box as claimed. Claims 2-7 depend from claim 1 and are therefore also allowed. Regarding claim 9, neither the closest known prior art, nor any reasonable combination thereof, teaches: identify coordinates of the second bounding box for the node as said coordinates specific to the feature. Beaver teaches the use of bounding boxes and disparity between bounding boxes to determine matching pairs of plants. See [0019]. However Beaver fails to teach identifying the center coordinates of a bounding box as claimed. Claims 10-18 depend from claim 9 and are therefore also allowed. Regarding claim 19, neither the closest known prior art, nor any reasonable combination thereof, teaches: identify, using a trained model, a feature of the corn plant, the feature including an ear of the corn plant and/or a node from which the ear emerges, and the trained model including a YOLOv5 (You Only Look Once Version 5) model. 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 Molly K Wilburn whose telephone number is (571)272-3589. The examiner can normally be reached Monday-Friday 8am-4pm. 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, Emily Terrell can be reached at (571) 270-3717. 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. /Molly Wilburn/Primary Examiner, Art Unit 2666
Read full office action

Prosecution Timeline

Jul 25, 2024
Application Filed
May 05, 2026
Non-Final Rejection mailed — §102
Aug 05, 2026
Response Filed
Oct 07, 2026
Final Rejection mailed — §102 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12762843
METHOD, APPARATUS, DEVICE AND MEDIUM FOR IMAGE PROCESSING
2y 9m to grant Granted Oct 13, 2026
Patent 12755336
IMAGE PROCESSING APPARATUS, IMAGE CAPTURING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM THAT RECORD FIRST AND SECOND SUBJECT INFORMATION IN ASSOCIATION WITH A COMPOSITE IMAGE
3y 10m to grant Granted Oct 06, 2026
Patent 12749156
PROGRESSIVE EXPLOITATION OF MULTI-ENERGY AND PHOTON COUNTING MODALITIES
2y 1m to grant Granted Sep 29, 2026
Patent 12743881
Methods And Systems For Use In Identifying Features Of Crops
2y 1m to grant Granted Sep 22, 2026
Patent 12727779
Techniques Implementing MRI for Cancer Classification
3y 1m to grant Granted Sep 08, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

3-4
Expected OA Rounds
90%
Grant Probability
99%
With Interview (+9.0%)
2y 0m (~0m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 475 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month