Agricultural Robotics Patent Snapshot 2026
The agricultural robotics patent corpus is small and moderately concentrated, with Vision Robotics Corp holding the largest single position among ranked filers and India dominating as the primary filing jurisdiction. Annual volume has plateaued near its prior peak, signalling a field that has reached maturity rather than rapid expansion.
Vision Robotics Corp leads a fragmented but consolidating field
Vision Robotics Corp holds the top position in the ranked applicant list, followed by Kubota Corp. The top five filers account for twenty-two percent of the ranked applicants visible in this query’ combined total, indicating moderate but not overwhelming concentration at the head of the ranking.
Below the top two, most applicants hold only one or two patent records, producing a steep drop-off between the front-runners and a long tail of individual inventors and academic institutions, particularly from India.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | VISION ROBOTICS CORP | 6 | |
| 2 | Kubota Corporation | 4 | |
| 3 | GHR LABS AND RESEARCH CENTRE | 2 | |
| 4 | Nanjing Agricultural University | 2 | |
| 5 | G H Raisoni College of Engineering | 2 | |
| 6 | VERITAS FC LLC | 2 | |
| 7 | DR VEERESH KUMAR G B ASSOC DEAN SE & HOD | 1 | |
| 8 | DR ROOPA H | 1 | |
| 9 | Indian Institute of Technology Mandi | 1 | |
| 10 | NIVEDHA B A | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | AWERE JANHAVI SHOUNAK | 1 | |
| 12 | YEDULLA ANIL REDDY ASSOC PROFESSOR | 1 | |
| 13 | G V RAMBABU ASSOC PROFESSOR | 1 | |
| 14 | Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology | 1 | |
| 15 | THAKKAR DHYEY NIKUNJ | 1 | |
| 16 | PROF C S P RAO DIRECTOR | 1 | |
| 17 | DR PUBALI MITRA PAUL | 1 | |
| 18 | BHASKAR S | 1 | |
| 19 | Sona College of Technology | 1 | |
| 20 | MR PARIKSHIT KUMAR PAUL | 1 |
Vision Robotics Corp’s lead — concentrated in harvesting, mowing, and digital data processing — suggests an early-mover advantage in autonomous crop-handling systems, while Kubota Corp’s entry as a new filer signals that established agricultural machinery OEMs are beginning to assert positions.
Filings from the most recent eighteen to twenty-four months are subject to publication lag and should be treated as under-counts; the 2025–2026 figures will grow as pending applications publish. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Activity has plateaued; harvesting and soil-working dominate the technology mix
The annual filing trend and the IPC class breakdown together reveal a field that reached a peak around 2021 and has since held relatively steady, while remaining anchored in a narrow set of core agricultural operations.
Annual filing trend
Filings picked up from 2020 onward, reached a local peak in 2021, and have remained broadly flat since. The apparent spike in 2025 and the partial 2026 figure should be read cautiously given publication lag; confirmed activity through 2023 shows a plateau rather than renewed growth.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Harvesting and mowing (A01D) and soil working (A01B) together account for the two largest branches, reflecting the dominance of field-operations robotics. Manipulators and robots (B25J) and autonomous-control classes (G05D) form a secondary cluster, while planting, image recognition, and AI-computing branches each carry materially lower counts, pointing to under-served areas.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
Agricultural robot system and method
Robotic harvesting of agricultural crops. Robot moves through a field first to “map” the field to determine plant locations, number and size of fruit on plants and approximate positions of fruit on each plant. Once the map of the fruit is complete, the robot can plan and implement an efficient picking plan for itself or another robot. A scout robot or… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Agricultural robot system and method | 423 |
| 2 | Agricultural robot system and method | 161 |
| 3 | Agricultural robot system and method | 119 |
| 4 | Agricultural robot system and method | 108 |
| 5 | Agricultural robot system and method | 102 |
| 6 | Agricultural robot system and method | 72 |
| 7 | Agricultural robot system and method | 47 |
| 8 | 自主式田间机器人 | 40 |
Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
Assignee snapshot from the current evidence set
The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.
Vision Robotics Corp
Vision Robotics Corp leads the ranked applicant list with 6 patent records, concentrated in harvesting and mowing (A01D) and electric digital data processing (G06F). The co-inventors Harvey Koselka and Bret Wallach share an identical technology focus profile, suggesting a tightly integrated core team behind the portfolio. No momentum data places them among the new-entrant cohort, indicating an established rather than accelerating position.
patent records: 6Kubota Corp
Kubota Corp holds 4 patent records and is flagged as a new entrant in recent filing activity, with 2 recent records and a trend of new entrant momentum. Its technology emphasis spans harvesting and mowing (A01D) alongside manipulators and robots (B25J), reflecting a hardware-first approach consistent with its agricultural machinery heritage. The new-entrant signal, coming from a large established OEM, warrants close monitoring as a potential consolidator.
patent records: 4Frequently asked questions
The analysis covers 26 patent families in scope globally. This is a relatively small corpus, which means individual applicants and individual filings carry significant weight in any statistical read of the landscape.
Vision Robotics Corp holds the top position with 6 patent records in the ranked applicant list, ahead of Kubota Corp with 4 patent records. Their focus is concentrated in harvesting, mowing, and digital data processing sub-classes.
India is the leading filing jurisdiction, accounting for 18 patent records. This is largely driven by academic institutions and individual inventors. The United States is the second-ranked jurisdiction with 10 patent records and represents the primary commercially oriented filing market.
The field is assessed as mature. Annual filings have plateaued near their prior peak, with no evidence of renewed acceleration in confirmed filing years. The most recent 2025–2026 data is subject to publication lag and should not be interpreted as a definitive upturn.
Planting and sowing (A01C) and image and video recognition (G06V) each carry only a handful of patent records despite their practical relevance to field robotics. Horticulture and forestry (A01G) and image data processing (G06T) are also sparse relative to the visible harvesting and soil-working classes.
The only documented co-applicant collaboration in the corpus is between GHR Labs and Research Centre and G H Raisoni College of Engineering, who jointly hold 2 patent records. No commercial cross-sector partnerships are evidenced among the visible assignees.
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Disclaimer. This page is generated from PatSnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
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