Precision Agriculture Control Patent Landscape 2026
The precision agriculture control patent space is in a growth stage, with filings rising sharply on a multi-year basis and activity concentrated overwhelmingly in India among academic and institutional filers. The field remains fragmented — no single applicant holds a dominant share — and several technology branches adjacent to the core remain sparsely covered.
Indian academic institutions lead a fragmented, early-stage field
Chandigarh University holds the top position with 5 patent families, followed by Lovely Professional University with 4 and Vellore Institute of Technology Chennai with 3. The ranking is populated almost entirely by Indian universities and engineering colleges, reflecting the geography of current filing activity.
The top five filers account for 15% of the combined total across the hundred largest filers, indicating a highly fragmented competitive structure with no entrenched dominant player. The gap between the leader (5 patent families) and most ranked applicants (1–2 patent families) is narrow, confirming that no institution has yet established a commanding portfolio.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | Chandigarh University | 5 | |
| 2 | Lovely Professional University | 4 | |
| 3 | Vellore Institute of Technology Chennai | 3 | |
| 4 | Anil D | 2 | |
| 5 | Manipal University Jaipur | 2 | |
| 6 | Dr. D.Y. Patil Institute of Technology, Pimpri, Pune | 2 | |
| 7 | Sona College of Technology | 2 | |
| 8 | Vaibhav Laxman Dhasal | 2 | |
| 9 | Dr. D.Y. Patil Institute of Technology, Pimpri, Pune | 2 | |
| 10 | Vellore Institute of Technology | 2 |
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 11 | Suresha S | 2 | |
| 12 | Wreath Inc | 2 | |
| 13 | Galgotias University | 2 | |
| 14 | Dr. Varsha Dange | 1 | |
| 15 | Shanmugapriya N | 1 | |
| 16 | Mr. Clement M | 1 | |
| 17 | Bais Devendra Singh | 1 | |
| 18 | Swami Rama Himalayan University | 1 | |
| 19 | Dr. Vrince Vimal | 1 | |
| 20 | SAVEETHA INST OF MEDICAL & TECH SCI | 1 |
The absence of large corporate or multinational filers among the leaders signals that the field has not yet attracted sustained industrial R&D investment at scale. This creates an unusually open competitive landscape for new entrants — academic or commercial — willing to build systematic portfolios.
The most recent 18–24 months of data are subject to publication lag and likely undercount actual filing volume; the apparent acceleration in 2024–2025 should be read as a lower bound. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Filing activity is accelerating; soil, horticulture, and AI are the dominant technology axes
The annual filing trend and technology composition charts together show a field that is both growing quickly and concentrated in a handful of IPC branches, with meaningful adjacent branches at lower coverage levels.
Annual filing trend
Filings were negligible through 2021, rose modestly in 2022–2023, then surged in 2024 and 2025. The 78% recent-window growth confirms an accelerating trajectory. The 2025–2026 bars should be treated as understated owing to publication lag; the true peak has likely not yet been reached.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Horticulture and forestry (A01G) and soil working in agriculture (A01B) are the most densely covered branches, closely followed by business and administrative data processing (G06Q) and AI-based computing (G06N). Control and regulating systems (G05B), material analysis (G01N), and digital transmission (H04L) appear at intermediate coverage, while planting and sowing (A01C), image recognition (G06V), and wireless networks (H04W) are notably sparse relative to their technical relevance to the domain.
↗ 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 | Soil sampling "on the fly" | 268 |
| 2 | Control System Used for Precision Agriculture and … | 194 |
| 3 | Smart farming | 13 |
| 4 | Smart decision support system architecture for IoT… | 9 |
| 5 | Method for smart irrigation using wireless interne… | 5 |
| 6 | Smart farming | 4 |
| 7 | Internet of things based smart farm mobile applica… | 2 |
| 8 | 一种精准农业的水肥一体化分配方法 | 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-stage lifecycle, academic-led concentration, and geographic clustering in India defines both the opportunity and the risk profile for new entrants in this space.
Growth stage with accelerating filings
The field is classified as Growth, with annual filing volume still rising and a 78% increase recorded over the recent window. The surge in 2024–2025 activity, even accounting for publication lag, indicates the commercialization cycle is earlier than in comparable precision-ag sub-domains. Early movers establishing systematic patent portfolios now face limited prior-art density and relatively low opposition risk.
Life-cycle: GrowthHighly fragmented — no entrenched leader
The top five filers hold only 15% of the combined total among the hundred largest filers, and the leading applicant, Chandigarh University, holds just 5 patent families. This is a structurally fragmented field where a focused filing campaign of even modest scale could establish a leading position. Industrial entrants face minimal blocking portfolio risk from any single incumbent.
FragmentedNo co-applicant activity recorded
The collaboration data contains no co-filing partnerships in the corpus. This absence of consortium or joint-applicant activity is consistent with the academic, single-institution filing pattern observed across the ranking. It also means there are no established IP-sharing alliances that a new entrant would need to navigate or join, though it equally signals that open innovation structures have not yet formed in this space.
Solo filing dominantIndia accounts for virtually all jurisdictional coverage
India is the primary filing jurisdiction, with the United States, China, and South Korea each showing minimal coverage. The near-total geographic concentration in one jurisdiction means that equivalent precision agriculture control IP filed in the US, Europe, or East Asia faces very little direct prior-art competition from this corpus. Organizations seeking international patent protection in this domain encounter a largely uncontested landscape outside India.
India-centricGo 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.
Academic institutions dominate, led by Chandigarh University and Lovely Professional University
The top two filers are both Indian universities with portfolios anchored in soil working, horticulture, and AI-assisted farm management. Both are new entrants to the ranking on a recent-period basis, reflecting the overall newness of systematic filing in this space.
Chandigarh University
Chandigarh University leads the corpus with 5 patent families, concentrated in soil working in agriculture (A01B 79), horticulture and forestry (A01G 25), and planting and sowing (A01C 21). Its filing momentum is classified as a new entrant, meaning its presence is recent and its portfolio is still being established rather than reflecting a long-term incumbent position.
families: 5Lovely Professional University
Lovely Professional University holds 4 patent families and ranks second overall. Its technology emphasis, based on the broader corpus profile for Indian university filers, aligns with soil working and smart farm data processing. Like the leader, it is a recent entrant to this IP space, and its portfolio gap relative to Chandigarh University is narrow enough that a single additional filing would tie the ranking.
families: 4| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Chandigarh University | 1 | ▲ new entrant |
| Suresha S | 2 | ▲ new entrant |
Under-served branches adjacent to the dominant precision agriculture core
Several IPC branches appear in the corpus at low coverage relative to their direct technical relevance to precision agriculture control, representing areas where filing density is low and prior-art barriers are minimal.
G06V · Image and video recognition
Image and video recognition (G06V) appears in only 10 patent records — one of the lowest counts among technically relevant branches — despite its direct application in crop disease detection, yield estimation, and drone-based field monitoring. The entry path is accessible: computer-vision models trained on agricultural imagery are a well-established research area, and the sparse prior-art density in this corpus means that focused filings in vision-based crop analytics could establish an early leading position.
Search this in Eureka →A01C · Planting and sowing
Planting and sowing (A01C) appears in 17 patent records, modest relative to the dominant soil-working and horticulture branches despite being a core operational step in any precision agriculture workflow. Variable-rate seeding, GPS-guided planting systems, and sensor-triggered seed dispensing are all technically mature areas with limited coverage here. An entrant with hardware or firmware expertise in seeding machinery and IoT integration could address a genuine gap.
Search this in Eureka →How leading applicants differ across technology routes
Route coverage across the main technology branches in the current evidence set.
| Player | A01B 79 · Soil working in agriculture | A01G 25 · Horticulture & forestry | G06Q 50 · Business, commerce & admin data processing | G06N 20 · Computing based on AI models | G01N 33 · Material analysis & testing |
|---|---|---|---|---|---|
| Chandigarh University | Strong · 4 | Strong · 4 | Strong · 3 | Moderate · 2 | Moderate · 2 |
| Lovely Professional University | Strong · 3 | Strong · 2 | Absent | Absent | Strong · 3 |
| Anil D | Strong · 2 | Strong · 2 | Strong · 2 | Absent | Absent |
| Vellore Institute of Technology Chennai | Strong · 3 | Absent | Absent | Strong · 2 | Absent |
| Dr. D.Y. Patil Institute of Technology, Pimpri, Pune | Strong · 2 | Strong · 2 | Absent | Absent | Absent |
Frequently asked questions
The analysis covers 103 patent families in scope. Filing activity was minimal before 2020 and has accelerated sharply in the most recent years, with 2025 representing the highest single-year volume on record — though that figure is likely understated due to publication lag.
Chandigarh University leads with 5 patent families, followed by Lovely Professional University with 4 and Vellore Institute of Technology Chennai with 3. All top filers are Indian academic or engineering institutions.
India is overwhelmingly the dominant jurisdiction, accounting for 100 patent records. The United States appears with 4 records, and China and South Korea each appear with 1 record. This geographic concentration means the international landscape outside India is largely open.
The field is in the Growth stage. Annual filing volume has risen 78% over the recent window, and the trend remains upward. No easing from a prior peak is indicated; the acceleration in 2024–2025 is real, though the most recent months are subject to publication lag.
The most densely covered branches are horticulture and forestry (A01G), soil working in agriculture (A01B), and business and administrative data processing (G06Q). The sparsest branches relative to their technical relevance include image and video recognition (G06V), planting and sowing (A01C), and wireless communication networks (H04W).
No co-applicant or collaborative filing activity is recorded in the corpus. All filing appears to be by single institutions acting independently, which means there are no established IP-sharing consortia that new entrants would need to engage with or navigate around.
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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.
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.