Agricultural IoT / LPWAN Patent Landscape 2026
The Agricultural IoT / LPWAN patent space is in an early Growth stage, with activity dominated by Indian academic institutions and individual inventors filing across horticulture, wireless networking, and AI-driven farm management. The field is lightly concentrated — the top five filers hold 15% of the hundred largest filers’ combined total — and virtually all filings originate from India, signalling both the nascent state of formal IP protection and a significant geographic gap for industrial entrants elsewhere.
Indian academia leads a fragmented, rapidly emerging field
Chandigarh University ranks first with 4 patent records, followed by individual inventors Anil D and Suresha S and institutional filer Thapar Institute of Engineering & Technology, each with 3 patent records. The ranking is shallow: no single entity commands a dominant share, and the top-tier gap between first and second place is a single record.
The top five filers account for 15% of the hundred largest filers’ combined total, confirming a fragmented competitive structure with no entrenched blocking position. The bulk of filers are universities and named individual inventors, which is characteristic of an emergent technology wave preceding significant corporate patent activity.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Chandigarh University | 4 | |
| 2 | Anil D | 3 | |
| 3 | THAPAR INST OF ENG & TECH | 3 | |
| 4 | Suresha S | 3 | |
| 5 | SAVEETHA INST OF MEDICAL & TECH SCI | 2 | |
| 6 | Lovely Professional University | 2 | |
| 7 | Mr. Immanuel Prabaharan S | 2 | |
| 8 | AgJunction LLC | 2 | |
| 9 | Saveetha Engineering College | 2 | |
| 10 | SWARNANDHRA COLLEGE OF ENG & TECH AUTONOMOUS | 2 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Sushma B S | 2 | |
| 12 | Mr. Rasumalla Chaitanya Sai Raj | 1 | |
| 13 | Dr. B. Sri Revathi | 1 | |
| 14 | Ms. Reshma Vartak | 1 | |
| 15 | Dr. Bajarang Prasad Mishra | 1 | |
| 16 | Dr. Neelamadhab Padhy | 1 | |
| 17 | Dr. P. K. Bharti | 1 | |
| 18 | Dr. S. R. M. Krishna | 1 | |
| 19 | Dr. R. Devi | 1 | |
| 20 | Ms. Sompuram Ridhima | 1 |
The academic dominance implies that foundational system architectures for Agricultural IoT and LPWAN networks remain relatively open and unencumbered by large corporate portfolios, creating space for industrial applicants to establish differentiated positions through applied engineering and systems integration claims.
Filing counts for 2025 and 2026 are likely understated due to standard patent publication lag; the apparent acceleration in those years should be treated as a floor, not a ceiling. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Rapid filing acceleration since 2022, anchored in horticulture and wireless networking
Two views of the corpus are particularly informative: the annual filing trend reveals when and how fast this field entered its growth phase, while the IPC composition reveals which technical sub-domains are attracting attention and which remain sparse.
Annual filing trend
Filings were negligible through 2021, then stepped up sharply from 2022 onward, reflecting a 633% growth rate over the recent window. The 2025 and 2026 bars are understated by publication lag and should be read as minimums; the underlying activity level is likely higher than shown.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Horticulture and forestry (A01G) and business/admin data processing (G06Q) are the two most represented branches, followed closely by digital information transmission (H04L) and wireless communication networks (H04W). AI model computing (G06N) and material analysis (G01N) are present but comparatively sparse, pointing to areas where coverage is thinner relative to the obvious technical relevance of those domains to precision agriculture.
↗ 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.
Using smart-phones and other hand-held mobile devi…
Some embodiments may include a control system configured to monitor an online queue associated with a remote server for the presence of updated control software content; in the case of the presence of updated control software content in the online queue, provide data based thereon in an offline queue, wherein a portable computing device includes a storage… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Using smart-phones and other hand-held mobile devi… | 7 |
| 2 | Ai and iot-driven precision farming platform | 1 |
| 3 | Using smart-phones and other hand-held mobile devi… | 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 competitive structure means for R&D investment decisions
The combination of a Growth lifecycle stage, academic-led filing, near-total India concentration, and no formal co-filing partnerships defines a window in which industrial entrants can establish IP positions before the landscape consolidates.
Early Growth — filings accelerating from a near-zero base
The lifecycle stage is Growth, with annual filings still rising and the most recent years understated by publication lag. The field produced negligible filings before 2020 and has accelerated sharply since 2022, indicating that core technical problems are being actively addressed but that the IP landscape has not yet calcified around dominant architectures. Entrants have room to define claim scope in novel sub-domains.
Growth stageFragmented field — no blocking portfolio exists yet
The top five filers hold only 15% of the hundred largest filers’ combined total, and the leading applicant holds just 4 patent records. This fragmentation means there is no incumbent with a sufficiently dense portfolio to create a significant freedom-to-operate barrier. For an industrial player, building even a modest focused portfolio could establish a credible competitive position quickly.
Low concentrationNo co-applicant activity detected in this corpus
Evidence pending: the collaboration data for this corpus is empty, meaning no co-filed patents between distinct entities have been identified. This absence reinforces the picture of isolated academic inventors working independently. It also means there are no existing consortium arrangements or cross-institution IP sharing agreements visible in this dataset that a new entrant would need to navigate.
No co-filing detectedIndia accounts for 56 of 58 jurisdictional records; the US holds 2
The overwhelming India concentration reflects both the academic filing pattern and the strong domestic policy push for precision agriculture in India. The near-absence of filings in other major jurisdictions — Europe, China, Japan — represents both a gap in formal IP coverage internationally and an opportunity for non-Indian applicants to file in those markets without facing a dense prior-art landscape from this field specifically.
India-dominantGo 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.
Top filers are Indian academic institutions entering as new participants
Every applicant with momentum data in this corpus is flagged as a new entrant, consistent with the field’s early Growth stage. The leaders differentiate primarily by their sub-domain emphasis within horticulture, soil working, and business data processing.
Chandigarh University
Chandigarh University leads with 4 patent records, concentrated in horticulture and forestry (A01G), soil working in agriculture (A01B), and AI model computing (G06N). Its trajectory is flagged as a new entrant, indicating all of this activity is recent. The AI-plus-horticulture pairing suggests a focus on sensor-driven crop monitoring applications layered with machine-learning inference.
4 patent recordsThapar Institute of Engineering & Technology
Thapar Institute holds 3 patent records with emphasis on soil working (A01B), horticulture (A01G), and material analysis and testing (G01N). Also a new entrant by momentum, Thapar’s inclusion of G01N coverage — soil and water quality sensing — differentiates it from Chandigarh’s AI focus and points toward electrochemical or spectroscopic sensor integration within LPWAN-connected field devices.
3 patent records| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Chandigarh University | 1 | ▲ new entrant |
| THAPAR INST OF ENG & TECH | 2 | ▲ new entrant |
| Suresha S | 3 | ▲ new entrant |
| Anil D | 3 | ▲ new entrant |
| Lovely Professional University | 1 | ▲ new entrant |
| Sushma B S | 2 | ▲ new entrant |
| SAVEETHA INST OF MEDICAL & TECH SCI | 2 | ▲ new entrant |
| Saveetha Engineering College | 1 | ▲ new entrant |
Under-served branches adjacent to the dominant Agricultural IoT cluster
Several IPC classes appear in the corpus but carry comparatively low patent-record counts relative to their technical relevance to LPWAN-connected farm systems. These are observations of relative sparsity; whether they constitute actionable opportunities depends on a filer’s specific technical roadmap and freedom-to-operate context.
G05B · Control & Regulating Systems
With only 8 patent records and a 3% share among the IPC branches present, closed-loop control systems for Agricultural IoT actuators — irrigation valves, ventilation dampers, dosing pumps — are thinly covered. The technical value is clear: LPWAN sensors are most useful when paired with reliable low-latency control logic. An entrant with embedded-control expertise could file foundational claims in LPWAN-triggered actuation architectures with limited prior-art density to navigate.
Search this in Eureka →G06N · Computing Based on AI Models
AI model computing appears in 20 patent records and holds an 8% share, making it one of the larger adjacent branches while still being sparse relative to the obvious demand for on-device or edge inference in bandwidth-constrained LPWAN deployments. Specific claim territory around federated learning for distributed sensor nodes, anomaly detection under intermittent connectivity, and low-power model quantization for LPWAN edge devices appears underexplored and technically differentiated from the existing academic filings.
Search this in Eureka →How leading filers differ by IPC technology route
Route coverage across the main technology branches in the current evidence set.
| Player | A01G 25 · Horticulture & forestry | G06Q 50 · Business, commerce & admin data processing | H04W 4 · Wireless communication networks | A01B 79 · Soil working in agriculture | G01N 33 · Material analysis & testing |
|---|---|---|---|---|---|
| Chandigarh University | Strong · 4 | Moderate · 2 | Moderate · 1 | Moderate · 2 | Moderate · 1 |
| Anil D | Strong · 3 | Strong · 3 | Absent | Strong · 3 | Moderate · 1 |
| Suresha S | Strong · 3 | Strong · 3 | Absent | Strong · 3 | Absent |
| Thapar Institute of Engineering and Technology | Strong · 3 | Absent | Absent | Strong · 3 | Strong · 2 |
| Sushma B S | Strong · 2 | Strong · 2 | Absent | Strong · 2 | Absent |
| Saveetha Engineering College | Absent | Strong · 2 | Strong · 2 | Absent | Strong · 2 |
| Saveetha Institute of Medical and Technical Sciences | Strong · 2 | Strong · 2 | Absent | Absent | Absent |
Frequently asked questions
The corpus covers 58 patent families. Filing activity was negligible before 2020 and has accelerated sharply since 2022, reflecting a 633% growth rate over the recent multi-year window.
Chandigarh University leads with 4 patent records, followed by Anil D, Thapar Institute of Engineering & Technology, and Suresha S each with 3 patent records. Every top filer is flagged as a new entrant, consistent with the field’s early Growth stage.
It is fragmented. The top five filers account for 15% of the hundred largest filers’ combined total, and the leading applicant holds only 4 patent records. There is no incumbent with a blocking portfolio, leaving significant room for new entrants to establish differentiated positions.
India accounts for 56 of the jurisdictional records in this corpus, with the United States holding 2. This concentration reflects both the academic filing pattern and India’s strong policy focus on precision agriculture. Other major jurisdictions — Europe, China, Japan — are not meaningfully represented in this dataset.
Horticulture and forestry (A01G) and business and admin data processing (G06Q) are the two most represented IPC branches, followed by digital information transmission (H04L) and wireless communication networks (H04W). AI model computing (G06N) and material analysis (G01N) are present but comparatively sparse.
No co-applicant activity is detected in this corpus. All identified filers appear to be filing independently, meaning there are no consortium or cross-institution IP sharing arrangements visible in the current dataset. This absence may change as the field matures and industrial players enter.
Built on Patsnap Open Platform
This report’s underlying patent dataset — filings, assignees, technology clusters — is open for developers via MCP and REST API. Free to start, 10,000 credits, no credit card required.
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.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.