Precision Ag Equipment Reliability Patent Snapshot 2026
The precision ag equipment reliability space is nascent and highly concentrated, with a single commercial applicant — Stout Industrial Technology — commanding a dominant share of filings against a long tail of individual inventors and academic institutions. The field is still expanding on a multi-year basis, though annual volume has eased from its 2021 peak, and India has emerged as the primary filing jurisdiction alongside the United States.
One commercial leader dominates a highly fragmented emerging field
Stout Industrial Technology Inc holds the top-ranked position with 13 patent records, far ahead of the remaining applicants who each hold a single patent record. This creates an unusually steep concentration profile for a field with only 23 patent families in scope.
The top five filers account for 37% of the ranked applicants visible in this query’ combined total, but the practical reality is sharper: every applicant beyond the leader is tied at one record each, spanning Indian engineering colleges, individual inventors, and a handful of university institutions. There is no meaningful second tier.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Stout Industrial Technology Inc | 13 | |
| 2 | BVRIT Hyderabad College of Engineering for Women | 1 | |
| 3 | Reddy Srinivas T | 1 | |
| 4 | Mr. Neelesh Gour | 1 | |
| 5 | Dr. Charul Chaudhary | 1 | |
| 6 | Mr. Alesh Sharma | 1 | |
| 7 | Malla Reddy Engineering College | 1 | |
| 8 | Akanshal | 1 | |
| 9 | Karpagam College of Engineering | 1 | |
| 10 | Dr. Dilip Kumar Chaurasiya | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Mr. Atul Shrivastava | 1 | |
| 12 | Malla Reddy Vishwavidyapeeth University | 1 | |
| 13 | Mr. R. Arulmurugan | 1 | |
| 14 | R. Arunkumar | 1 | |
| 15 | V. Sivaraj | 1 | |
| 16 | Rajbir Singh Khedwal | 1 | |
| 17 | Sankar Bhanu B A | 1 | |
| 18 | Dr. Ambika Bhandari | 1 | |
| 19 | Lakshmi Narain College of Technology Excellence Bhopal | 1 | |
| 20 | Vellore Institute of Technology Chennai | 1 |
Stout Industrial Technology’s dominance, combined with a focus on machine vision and soil-working systems, signals that the commercial agenda in this space is being set by a single actor — leaving substantial room for challengers to define complementary technology routes.
Filing counts for the most recent 18–24 months are understated due to standard patent publication lag and should not be interpreted as a slowdown. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Activity grew from 2021 onward; machine vision and soil-working dominate the technology mix
The filing trend and technology composition charts together reveal a field that activated in 2021 and is weighted heavily toward perception and control systems rather than mechanical durability or materials reliability.
Annual filing trend
Filings were absent before 2021, then rose to five records in both 2021 and 2022, eased to three in 2023, and show a spike pattern in 2025 that should be read cautiously given publication lag. The 60% recent-window growth confirms multi-year expansion even as annual volume has eased from the 2021 peak.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Soil working in agriculture (A01B) is the single largest branch, followed by image and video recognition (G06V) and AI-based computing (G06N). The co-presence of computer-vision and field-operation classes confirms the visible design centers on machine-vision-guided equipment rather than mechanical reliability per se. Pest control (A01M), business and admin data processing (G06Q), and image data processing (G06T) form a secondary cluster, while UAV, wireless, additive manufacturing, and healthcare informatics branches each carry only one record.
↗ 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.
Modular smart implement for precision agriculture
An illustrative modular smart implement for precision agriculture includes a chassis having a hydraulic system, a control system, and articulating tool arms that are adapted to releasably receive one of a tool attachment for working a crop and/or field, including precision planting, cultivating, thinning, spraying, harvesting, and/or data collection. A… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Machine vision control system for precision agricu… | 19 |
| 2 | Machine vision plant tracking system for precision… | 13 |
| 3 | Machine vision control system for precision agricu… | 9 |
| 4 | Modular smart implement for precision agriculture | 8 |
| 5 | Machine vision plant tracking system for precision… | 4 |
| 6 | Machine vision plant tracking system for precision… | 3 |
| 7 | Modular smart implement for precision agriculture | 2 |
| 8 | Smart sprayer for precision agriculture | 1 |
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.
Stout Industrial Technology Inc
Stout Industrial Technology holds 13 patent records, all concentrated in machine vision control and plant tracking systems for precision agriculture, with primary emphasis on soil working (A01B) and image/video recognition (G06V). The applicant’s momentum is flagged as a new entrant with 8 recent records, indicating that the bulk of this portfolio was built rapidly. The most-cited patents in the corpus — covering machine vision control systems and modular smart implements — are associated with this applicant’s filing program.
families: 13Vellore Institute of Technology Chennai
Vellore Institute of Technology Chennai holds 1 patent record with a technology focus spanning autonomous soil working (A01B 69, A01B 79) and control of non-electric variables (G05D 1), suggesting an interest in autonomous field navigation. As a research institution, its trajectory and commercial prosecution strategy are unclear from the current evidence; it represents the most technically differentiated academic filer in the corpus.
families: 1Frequently asked questions
The corpus covers 23 patent families in scope. This is a nascent field by patent-landscape standards, with meaningful activity only beginning in 2021.
Stout Industrial Technology Inc holds 13 patent records — more than half the corpus — with a focus on machine vision control systems, plant tracking systems, and modular smart implements for precision agriculture. No other applicant holds more than one record.
India leads with 10 patent records, followed by the United States with 9, Canada with 3, and Europe (EPO) with 1. The US records are associated primarily with the commercially active leader, while India’s count is driven by individual inventors and engineering colleges.
The field is classified as Growth. The recent three-year filing window sits well above the prior three-year window, confirming multi-year expansion. Annual volume has eased from its 2021 peak, and the most recent filing years carry undercount from patent publication lag.
Soil working in agriculture (A01B) and image/video recognition (G06V) are the visible branches, reflecting a design paradigm centered on machine-vision-guided field equipment. AI-based computing (G06N), pest and vermin control (A01M), and business data processing (G06Q) form a secondary cluster.
Co-filing activity is minimal. The only identified co-applicant relationship is between Silpa C and Malla Reddy Vishwavidyapeeth University (also recorded as Malla Reddy Univ), with one joint record each. The broader filer population — individual inventors and engineering colleges — files independently.
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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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