Precision Agriculture Data/Sensor Interface Patent Landscape
The precision agriculture data and sensor interface space is a nascent, highly fragmented field in active growth, with no single applicant holding dominant control. India accounts for the overwhelming majority of filing activity, and the field is broadening rapidly across soil-working, AI-driven analytics, and wireless connectivity branches.
A fragmented, India-centric field with no dominant incumbent
Crop Sentry Ltd leads all ranked applicants with 3 patent records, followed by a cluster of academic institutions and individual inventors each holding 2 patent records — a structure that reflects an early-stage, researcher-driven ecosystem rather than a mature corporate-dominated one.
The top five filers collectively hold 13% of the hundred largest filers’ combined total, indicating exceptionally low concentration. No applicant has established the kind of portfolio depth that would create hard freedom-to-operate barriers for new entrants.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Crop Sentry Ltd | 3 | |
| 2 | Dayananda Sagar College of Engineering | 2 | |
| 3 | Parikshit N. Mahalle | 2 | |
| 4 | Dattatray G. Takale | 2 | |
| 5 | Wreath Inc | 2 | |
| 6 | BVRIT Hyderabad College of Engineering for Women | 1 | |
| 7 | Dr. Varsha Dange | 1 | |
| 8 | Dr. T. Dinaker Chinna | 1 | |
| 9 | Mayuri Mangesh Gawade | 1 | |
| 10 | Dr. Deepa Parasar | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Mr. Pradeep Chauhan | 1 | |
| 12 | Kamble Aayushee Ghanshyam | 1 | |
| 13 | Koneru Lakshmaiah Education Foundation | 1 | |
| 14 | Dr. K. Sowmya | 1 | |
| 15 | Ms. Nisha Vasudeva | 1 | |
| 16 | Archana Jenis M. R. | 1 | |
| 17 | Dr. R. Devi | 1 | |
| 18 | Indian Institute of Technology Indore | 1 | |
| 19 | Vanishree K. | 1 | |
| 20 | J. Venkata Ramana | 1 |
The leadership position held by Crop Sentry Ltd is thin in absolute terms; a focused filing campaign of even modest scale could close or reverse that gap. The prominence of engineering colleges and individual inventors among the top twenty signals that the field is still being shaped by exploratory research rather than commercial product-development pipelines.
Filing counts for the most recent 18–24 months are understated due to standard patent-publication lag; the apparent surge through 2025 likely understates actual recent activity further. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Rapid recent growth concentrated in soil-working and AI analytics branches
Annual filing volume and the distribution across IPC classes together reveal both the pace of market formation and the technical directions attracting the most attention. Reading the two charts together clarifies where the field is densest and where it remains open.
Annual filing trend
Activity was negligible through 2020, then accelerated sharply from 2021 onward. The 50% recent-window growth confirms a genuine upward trajectory, though counts for 2025 and 2026 are understated by publication lag and should be read as floors rather than totals.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Soil working in agriculture (A01B) and business/commerce data processing (G06Q) are the two dominant IPC classes, reflecting the dual emphasis on physical field instrumentation and the data-platform layer above it. Digital information transmission (H04L), AI-based computing (G06N), and horticulture/forestry (A01G) form a substantial secondary tier, while branches such as wireless networks (H04W), control systems (G05B), and IoT data processing (G16Y) remain comparatively thin.
↗ 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.
Smart farming
A vehicular control system includes sensors such as IoT (internet of things) sensors that can share data with other vehicles and that can communicate with the cloud to provide intelligent handling of the irrigation system. (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Smart farming | 13 |
| 2 | Field monitoring and data collection systems and m… | 11 |
| 3 | Smart farming | 4 |
| 4 | Wireless soil tester with real-time output | 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.
What the structure means for R&D investment and competitive positioning
The combination of low concentration, strong recent growth, and an India-dominated filing base creates a distinctive risk-opportunity profile. Each dimension below carries specific implications for where an entrant can move quickly or must move carefully.
Early Growth — annual filings still rising
The lifecycle evidence categorizes this field as Growth, with annual filings still rising and 50% expansion recorded in the recent window. The field has not yet reached a consolidation phase, meaning core claim space in sensor-interface architectures and data-pipeline protocols is still being staked. An applicant filing a coherent portfolio now can establish prior art positions before incumbent depth accumulates.
Lifecycle: GrowthHighly fragmented — no blocking portfolio exists
With the top five filers holding only 13% of the hundred largest filers’ combined total, no entity currently controls a strategic chokepoint. The leader holds just 3 patent records. This creates permissive freedom-to-operate conditions today but also means first movers who build portfolio depth quickly could flip the concentration picture within a single filing cycle.
Low concentrationNo co-applicant activity detected
The collaboration data contains no recorded co-applicant pairs in this corpus. All activity appears to be single-entity filings, primarily from engineering colleges and individual inventors. This absence of collaborative filing suggests that cross-institutional or industry-academic joint development agreements have not yet translated into shared patent portfolios — a gap that a well-resourced entrant could exploit by initiating partnerships.
No co-filers recordedIndia dominates; international protection is sparse
India accounts for 54 of the patent records in scope, with only 6 in the United States, 1 in the United Kingdom, and 1 PCT filing. This concentration means most existing rights have no enforceability outside India. For applicants targeting global markets — particularly the US, EU, or Southeast Asian precision-ag markets — the international filing landscape is largely uncontested, representing a straightforward path to jurisdiction-level first-mover advantage.
India-centric filingGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
Co-filing pairs, ranked by the number of jointly-filed patent families.
Crop Sentry Ltd leads a field otherwise dominated by academic filers
The top of Momentum data from new entrants highlights institutions that are just beginning to establish positions.
Crop Sentry Ltd
Crop Sentry Ltd holds 3 patent records, making it the sole commercial entity at the top of the ranking in a field otherwise led by academic institutions. No momentum trend data is available for Crop Sentry in the recent-vs-prior filing evidence, so trajectory cannot be confirmed from the current corpus. Its position, while narrow in absolute terms, is notable as the only dedicated agri-tech company in the top tier.
patent records: 3Dayananda Sagar College of Engineering
Dayananda Sagar College of Engineering holds 2 patent records and is flagged as a new entrant in the momentum data, with 1 recent filing signaling an emerging research program. Its technology focus spans business/commerce data processing (G06Q) and soil working (A01B), with additional coverage in horticulture (A01G) — a profile consistent with applied smart-farming research. As an academic institution, it is a likely source of future licensing or spin-out activity rather than a direct commercial competitor.
patent records: 2| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Dayananda Sagar College of Engineering | 1 | ▲ new entrant |
| Indian Institute of Technology Guwahati | 1 | ▲ new entrant |
Under-served branches adjacent to the field’s core activity
Several IPC classes appear in the corpus at low share relative to the dominant soil-working and data-processing clusters. These are observations of relative sparsity; where a branch also has plausible technical value and a realistic entry path, that case is made explicitly below.
G01N · Material Analysis and Testing
This branch covers soil chemistry sensors, spectroscopic analysis, and in-field material characterization — functions central to any data-driven precision agriculture system — yet it accounts for only 16 patent records at a 6% share of the corpus. The sparsity is notable given that sensor hardware for nutrient and contaminant detection sits at the physical foundation of the entire data pipeline. An entrant with electrochemical or optical sensing expertise could file into this branch with limited prior-art resistance, and claims here would be directly complementary to the dominant A01B and G06Q positions already staked by others.
Search this in Eureka →H04W · Wireless Communication Networks
Wireless connectivity is the data-transport layer between field sensors and analytics platforms, yet H04W appears in only 12 patent records at a 4% share. Given that LoRa, NB-IoT, and mesh networking are active implementation choices in deployed precision agriculture systems, the filing gap here is likely an artifact of the field’s early stage rather than a lack of technical relevance. A focused claim set covering low-power, long-range sensor-network protocols adapted for agricultural topology — irregular field layouts, intermittent connectivity, battery constraints — would address a genuine gap with a clear engineering entry path.
Search this in Eureka →How leading applicants differ by technology route
Route coverage across the main technology branches in the current evidence set.
| Player | A01B 79 · Soil working in agriculture | G06Q 50 · Business, commerce & admin data processing | G06N 20 · Computing based on AI models | A01G 25 · Horticulture & forestry | H04L 67 · Digital information transmission |
|---|---|---|---|---|---|
| Dattatray G. Takale | Absent | Strong · 2 | Absent | Moderate · 1 | Moderate · 1 |
| Dayananda Sagar College of Engineering | Absent | Strong · 2 | Moderate · 1 | Absent | Moderate · 1 |
| A. V. Srinivasa Rao | Absent | Strong · 1 | Absent | Strong · 1 | Strong · 1 |
| Amol Shivajirao Suryawanshi | Absent | Strong · 1 | Absent | Strong · 1 | Strong · 1 |
Frequently asked questions
The corpus covers 62 patent families focused on precision agriculture data and sensor interfaces.
Crop Sentry Ltd leads with 3 patent records, making it the top-ranked applicant among the hundred largest filers in this corpus.
India accounts for 54 of the patent records in scope, far ahead of the United States at 6 records. International protection outside India is very sparse, with only 1 PCT filing and 1 UK filing recorded.
The field is classified as Growth. Annual filings are still rising, and the recent-window growth rate is 50%. Counts for the most recent 12–24 months are understated due to publication lag.
Soil working in agriculture (A01B) and business/commerce data processing (G06Q) are the two largest IPC classes, followed by digital information transmission (H04L) and AI-based computing (G06N). This reflects the dual focus on physical field instrumentation and the software/analytics layer above it.
No co-applicant collaborations are recorded in the current corpus. All filings appear to be single-entity submissions, predominantly from Indian engineering colleges and individual inventors.
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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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