Agricultural Data Security Patent Snapshot 2026
Agricultural data security patenting is an early-stage, highly fragmented field concentrated entirely in India, with no single filer holding more than one patent record in the corpus of 10 patent families in scope. Activity has accelerated sharply since 2022, with the most recent filing years accounting for the bulk of the corpus, though recent periods remain subject to publication lag.
A nascent, atomised field led by individual researchers rather than institutions
No applicant has established a visible position: every filer in the ranked list holds exactly one patent record, including the nominal leader Dr B Sri Revathi. This extreme fragmentation is consistent with an emerging research area rather than a mature commercial technology space.
The top five filers account for 16% of the combined totals of the ranked applicants visible in this query — a very low concentration ratio that underscores the absence of any consolidating player. There is no discernible tier gap between the leader and the rest of the field.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Dr. B. Sri Revathi | 1 | |
| 2 | MS Reshma Vartak | 1 | |
| 3 | Dr. Bajarang Prasad Mishra | 1 | |
| 4 | MS A. Saranya | 1 | |
| 5 | Dr. A. Vijayalakshmi | 1 | |
| 6 | Dr. S. R. M. Krishna | 1 | |
| 7 | Mr. Ashish Dixit | 1 | |
| 8 | Dayananda Sagar College of Engineering | 1 | |
| 9 | Dr. Dilip Kumar Chaurasiya | 1 | |
| 10 | Vaibhav Laxman Dhasal | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Mrs. Chayashree G | 1 | |
| 12 | Dr. S. Meenakshi | 1 | |
| 13 | Indhudhara J | 1 | |
| 14 | Dr. Suraya Mubeen | 1 | |
| 15 | Dr. Mohd. Ashraf | 1 | |
| 16 | Mr. Balram Yadav | 1 | |
| 17 | Dr. T. C. Manjunath | 1 | |
| 18 | Mr. Kumbhakarna Mallik | 1 | |
| 19 | Dr. Avadhesh Kumar Gupta | 1 | |
| 20 | Amit Kumar Upadhyay | 1 |
The preponderance of individual inventors and a single institutional filer (Dayananda Sagar College of Engineering) suggests that agricultural data security is currently being explored primarily in academic and research settings, with limited corporate or enterprise patent strategy visible in the corpus.
The most recent 18–24 months of filings are subject to publication lag and are likely undercounted; the apparent surge in 2025–2026 should be interpreted as a lower bound on actual recent activity rather than a definitive peak.
Filing activity has compressed into the most recent four years; AI and transmission technologies dominate
The trend chart and technology composition together reveal a field that is both very young and technically concentrated around a narrow set of enabling classes.
Annual filing trend
Zero activity was recorded from 2017 through 2021; filings began in 2022 and have increased each subsequent year through 2026. Because the 2025 and 2026 cohorts are subject to publication lag, the apparent acceleration in those years represents a floor, not a ceiling. The overall multi-year trajectory is upward from a zero base.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Computing based on AI models (G06N) and digital information transmission (H04L) are jointly visible, each appearing in seven patent records — the two classes together account for the majority of technical coverage. Soil working in agriculture (A01B) and business/commerce data processing (G06Q) form a secondary tier at four records each. All remaining classes appear in two records or fewer, pointing to a field that has not yet spread across a broad technical surface.
↗ 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.
System for smart farming
The present invention relates to the field of agriculture and more specifically, to a system for smart farming. The system for smart farming includes a mapping module to create a comprehensive map of the farmer’s land, including topography and spatial characteristics, a specially designed apparatus for soil analysis, comprising pH sensors, carbon sensors… (excerpt from the patent abstract)
Open this patent in Eureka →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.
Dayananda Sagar College of Engineering
The only institutional filer in the top-ranked cohort, Dayananda Sagar College of Engineering holds one patent record — the same count as every individual inventor in the corpus. Its presence signals academic engagement with the topic but not yet a programmatic IP strategy. No momentum trend data is available for this applicant in the evidence.
patent records: 1MS Reshma Vartak
MS Reshma Vartak is flagged as a new entrant in momentum data and holds one patent record. Her technical focus spans electric digital data processing (G06F 21), business and commerce data processing (G06Q 50), and digital information transmission (H04L 29) — a combination that reflects an application-layer security orientation rather than pure infrastructure work.
patent records: 1Frequently asked questions
The corpus covers 10 patent families in scope, all filed in India. Activity began in 2022 and has increased each year through 2026, though the most recent cohorts are subject to publication lag.
Every applicant in the ranked list holds exactly one patent record, so there is no single visible portfolio holder. Dr B Sri Revathi appears first in the ranking, but this reflects alphabetical or index ordering rather than a meaningful size advantage.
Computing based on AI models (G06N) and digital information transmission (H04L) are the two most represented classes, each appearing in seven patent records. Soil working in agriculture (A01B) and business data processing (G06Q) form a secondary tier at four records each.
Based on the current evidence, all 10 patent records are filed exclusively in India. No filings in other jurisdictions appear in the corpus, meaning international coverage is currently absent.
No co-applicant relationships are recorded in the evidence. Every filing in the corpus appears to originate from a single applicant, whether an individual researcher or a single institution. There are no visible consortium or industry–academia joint filings.
Filings were zero from 2017 to 2021 and began only in 2022. The annual count has risen each year since, reaching its highest recorded levels in 2025 and 2026 — though those years are likely undercounted due to publication lag. The overall trajectory from a zero base is upward, consistent with a field in its earliest emergence phase.
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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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