Prosecution Insights
Last updated: April 19, 2026
Application No. 18/767,735

HARVEST READINESS DETERMINATION USING DRONE WITH CROP ENGAGING COMPONENT

Non-Final OA §102
Filed
Jul 09, 2024
Examiner
REFAI, RAMSEY
Art Unit
3664
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Deere & Company
OA Round
1 (Non-Final)
50%
Grant Probability
Moderate
1-2
OA Rounds
3y 5m
To Grant
61%
With Interview

Examiner Intelligence

Grants 50% of resolved cases
50%
Career Allow Rate
322 granted / 647 resolved
-2.2% vs TC avg
Moderate +12% lift
Without
With
+11.6%
Interview Lift
resolved cases with interview
Typical timeline
3y 5m
Avg Prosecution
20 currently pending
Career history
667
Total Applications
across all art units

Statute-Specific Performance

§101
28.1%
-11.9% vs TC avg
§103
26.6%
-13.4% vs TC avg
§102
25.7%
-14.3% vs TC avg
§112
14.8%
-25.2% vs TC avg
Black line = Tech Center average estimate • Based on career data from 647 resolved cases

Office Action

§102
DETAILED ACTION Responsive to the claims filed July 9, 2024. Claims 1-21 are pending. The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . 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 1-21 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Maor (US 11,526,179). As per claim 1, Maor teaches an agricultural system comprising: a drone controllable to exert force on a crop plant at a worksite (see at least column 5, line 59-column 6, line 5; harvesting UAV can use force on plant); one or more harvest readiness sensors configured to detect one or more harvest readiness attributes after exertion of force on the crop plant and to generate harvest readiness sensor data indicative of the one or more harvest readiness attributes (see at least column 6, lines 18-25, column 7, line 60-column 8, line 12; ripeness detection unit can sense fruit readiness for harvesting ); one or more processors and memory storing instructions, executable by the one or more processors, that, when executed by the one or more processors, configure the one or more processors to: control the drone to exert force on the crop plant; and identify a harvest readiness value corresponding to the worksite based on the harvest readiness sensor data (see at least column 6, lines 45-65, column 7, line 60-column 8, line 36; UAV drone is controlled to use force such as push/pull or various tools on the crop plant and also can identify crop ripeness for harvest). As per claim 2, Maor teaches wherein the drone includes a removal tool configured to separate material from the crop plant and wherein the instructions, when executed by the one or more processors, configure the one or more processors to: control the drone to exert force on the crop plant by controlling the drone to exert the force on the crop plant with the removal tool to separate material from the crop plant (see at least column 6, lines 45-65, column 7, line 60-column 8, line 36). As per claim 3, Maor teaches wherein the one or more harvest readiness sensors are remote from the drone and wherein the instructions, when executed by the one or more processors, configure the one or more processors to: control the drone to transport the material from the crop plant to a delivery location; wherein the one or more harvest readiness sensors are configured to sense the material from the crop plant to detect the one or more harvest readiness attributes (see at least fig 31, column 25, lines 44-52). As per claim 4, Maor teaches wherein the drone includes the one or more harvest readiness sensors, wherein the drone includes a crop engaging component, and wherein the instructions, when executed by the one or more processors, configure the one or more processors to: control the drone to exert force on the crop plant by controlling the drone to bring the crop engaging component into contact with the crop plant; and detect, with the one or more harvest readiness sensors, the one or more harvest readiness attributes in a measurement area associated with the crop plant after the crop engaging component is brought into contact with the crop plant, the harvest readiness sensor data indicative of the one or more harvest readiness attributes detected in the measurement area after the crop engaging component is brought into contact with the crop plant (see at least column 6, lines 45-65, column 7, line 60-column 8, line 36; UAV drone is controlled to use force such as push/pull or various tools on the crop plant and also can identify crop ripeness for harvest). As per claim 5, Maor teaches wherein the instructions, when executed by the one or more processors, configure the one or more processors to: control the drone to detect, with the one or more harvest readiness sensors, the one or more harvest readiness attributes in the measurement area before the crop engaging component is brought into contact with the crop plant, the one or more harvest readiness sensors configured to generate additional harvest readiness sensor data indicative of the one or more harvest readiness attributes before the crop engaging component is brought into contact with the crop plant; identify the harvest readiness value based on the harvest readiness sensor data and the additional harvest readiness sensor data (see at least column 7, lines 5-14). As per claim 6, Maor teaches wherein the drone includes the one or more harvest readiness sensors, wherein the drone includes an air stream generator, and wherein the instructions, when executed by the one or more processors, configure the one or more processors to: control the drone to exert force on the crop plant by controlling the drone to direct an air stream generated by the air stream generator towards the crop plant; and control the drone to detect, with the one or more harvest readiness sensors, the one or more harvest readiness attributes after the air stream is directed towards the crop plant, the harvest readiness sensor data indicative of the one or more harvest readiness attributes after the air stream is directed towards the crop plant (see at least column 15, lines 11-23). As per claim 7, Maor teaches wherein the instructions, when executed by the one or more processors, configure the one or more processors to: control the drone to detect, with the one or more harvest readiness sensors, the one or more harvest readiness attributes before the air stream is generated towards the crop plant, the one or more harvest readiness sensors configured to generate additional harvest readiness sensor data indicative of the one or more harvest readiness attributes before the air stream is generated towards the crop plant; identify the harvest readiness value based on the harvest readiness sensor data and the additional harvest readiness sensor data (see at least column 7, lines 5-14, column 15, lines 11-23). As per claim 8, Maor teaches wherein the instructions, when executed by the one or more processors, further configure the one or more processors to: generate, based on the harvest readiness value, a harvester operation plan for use in control of one or more of a harvester or a harvest support machine (see at column 23, lines 52-63, column 28, lines 7-16). Claims 9-21 contain similar limitations as the claims above and therefore are rejected under similar rationale. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to Ramsey Refai whose telephone number is (313)446-4867. The examiner can normally be reached M-F 9am-5pm EST. 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, Kito Robinson can be reached at (571) 270-3921. 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. RAMSEY REFAI Primary Examiner Art Unit 3664 /RAMSEY REFAI/Primary Examiner, Art Unit 3664
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Prosecution Timeline

Jul 09, 2024
Application Filed
Jan 10, 2026
Non-Final Rejection — §102
Apr 07, 2026
Applicant Interview (Telephonic)
Apr 07, 2026
Examiner Interview Summary

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

1-2
Expected OA Rounds
50%
Grant Probability
61%
With Interview (+11.6%)
3y 5m
Median Time to Grant
Low
PTA Risk
Based on 647 resolved cases by this examiner. Grant probability derived from career allow rate.

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