Farm Decision-Support UI Patent Snapshot 2026
The Farm Decision-Support UI patent space is nascent, with only 6 patent families in scope and filing activity concentrated among two established agricultural equipment makers. CNH Industrial and Deere & Co hold joint leadership, while a cluster of independent Indian inventors and Blue River Technology round out a field that only began generating filings in 2023.
CNH Industrial and Deere & Co lead a highly fragmented, early-stage field
CNH IND Canada and Deere & Co each hold 2 patent records, placing them jointly at the top of the applicant ranking in what remains a very small corpus. The. United States is the visible filing jurisdiction, accounting for 5 of the recorded filings.
The top five filers account for 25% of the ranked applicants visible in this query’ combined total, indicating that even within the ranked cohort the field is highly dispersed. No single player has established a commanding position, and the second tier is composed largely of individual inventors affiliated with Sri Indu Institute of Engineering and Technology.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | CNH Industrial Canada | 2 | |
| 2 | DEERE & CO | 2 | |
| 3 | Soundarya S | 1 | |
| 4 | Aboorva V | 1 | |
| 5 | MR T RAVICHARAN SRI INDU INST OF ENG & TECH (AUTON… | 1 | |
| 6 | MR A VIJAY KUMAR SRI INDU INST OF ENG & TECH (AUTO… | 1 | |
| 7 | MRS B S SWAPNA SHANTHI SRI INDU INST OF ENG & TECH… | 1 | |
| 8 | MRS E RUPA SRI INDU INST OF ENG & TECH (AUTONOMOUS) | 1 | |
| 9 | MRS G SWAPNA SRI INDU INST OF ENG & TECH (AUTONOMO… | 1 | |
| 10 | MRS D UMA SRI INDU INST OF ENG & TECH (AUTONOMOUS) | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | DR B RATNAKANTH SRI INDU INST OF ENG & TECH (AUTON… | 1 | |
| 12 | MRS T RAMYA PRIYA SRI INDU INST OF ENG & TECH (AUT… | 1 | |
| 13 | MRS J PUJITHA SRI INDU INST OF ENG & TECH (AUTONOM… | 1 | |
| 14 | A Aneesh Kingslee Raj | 1 | |
| 15 | Dr. K. Sheela Sobana Rani | 1 | |
| 16 | V. Sri Vishnu Vardhan | 1 | |
| 17 | Yoganath P | 1 | |
| 18 | S. Balaji | 1 | |
| 19 | Blue River Technology Inc. | 1 | |
| 20 | T. Logeshwaran | 1 |
The leadership positions of CNH Industrial and Deere & Co suggest that on-implement decision-support UI development is currently treated as an extension of precision-agriculture hardware programs at established OEMs, rather than as a standalone software-IP strategy. This leaves the broader UI layer relatively uncontested.
Filings from 2024 onward are subject to standard publication lag and the most recent counts should be treated as provisional minimums. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Activity only emerged in 2023; soil-working and planting branches dominate the technology mix
The annual filing trend and technology composition charts together reveal a field that is structurally very young: zero recorded filings exist before 2023, and the IPC mix skews heavily toward core agronomy classes rather than software-interface classes.
Annual filing trend
No filings were recorded from 2017 through 2022. Activity began in 2023 with 2 records, dipped to 1 in 2024, then returned to 2 in 2025, with 1 additional record in 2026. Given standard 18–24 month publication lag, 2025 and 2026 figures are provisional and will likely be revised upward.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Soil working in agriculture (A01B) is the most represented IPC class with 8 records, followed by planting and sowing (A01C) with 5, and pest and vermin control (A01M) with 3. Computing-oriented classes — AI models (G06N), image processing (G06T), and business/admin data processing (G06Q) — each contribute only 2 records, reflecting that the UI and intelligence layers remain less protected than the physical agronomy workflows they support.
↗ 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 precision agriculture system
A modular system includes a hub and a set of modules removably coupled to the hub. The modules are physically coupled to the frame relative to each other so that each module can operate with respect to a different row of a field. An individual module includes a sensor for capturing field measurement data of individual plants along a row as the modular… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Soil sampling "on the fly" | 269 |
| 2 | Precision farming system for applying product to a… | 62 |
| 3 | Precision farming system for applying product to a… | 34 |
| 4 | Modular precision agriculture system | 2 |
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.
CNH Industrial Canada
CNH IND Canada holds 2 patent records, the joint-highest in the ranking. Its technology focus spans soil working (A01B), planting and sowing (A01C) — including two distinct A01C subclasses — reflecting an approach that embeds decision-support UI within implement-level field operations. No momentum trend data is available for this applicant in the evidence provided.
patent records: 2Blue River Technology
Blue River Technology holds 1 patent record and is flagged as a new entrant in the most recent filing window, indicating recent strategic IP activity in this space. Its technology emphasis covers soil working (A01B), planting and sowing (A01C), and pest and vermin control (A01M) — a profile consistent with its machine-vision and see-and-spray product lines. As a John Deere subsidiary, its entry adds further weight to Deere’s ecosystem presence.
patent records: 1Frequently asked questions
The evidence shows 6 patent families in scope. This is a very small corpus, confirming the nascent state of this specific technology niche.
CNH IND Canada and Deere & Co each hold 2 patent records, placing them jointly at the top of the ranking. Blue River Technology, a Deere subsidiary, holds 1 record and is identified as a new entrant in the most recent filing window.
No filings were recorded from 2017 through 2022. The first recorded activity appeared in 2023. Filings from 2025 and 2026 are subject to publication lag and should be treated as provisional minimums.
The United States leads with 5 filings, followed by India with 3. Europe (EPO) and South Korea each have 1 filing. Major agricultural economies such as Brazil, Australia, and China are not represented in the current evidence.
Soil working in agriculture (A01B) is the most represented class with 8 records, followed by planting and sowing (A01C) with 5, and pest and vermin control (A01M) with 3. Computing-oriented classes such as AI models (G06N) and image processing (G06T) each hold only 2 records.
No co-applicant filings or joint patent relationships are recorded in the current evidence. All detected filings appear to be single-entity or single-inventor submissions, leaving cross-industry partnerships as an untested structural option.
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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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