Soil Health Monitoring & Management Patent Landscape
The soil health monitoring and management patent space is in a clear growth phase, with filings accelerating sharply since 2020 and India accounting for the dominant share of filing activity. The field remains fragmented across academic institutions, with no single applicant holding a commanding position, leaving meaningful room for differentiated technology entrants.
A fragmented, academically driven field with no entrenched industrial leader
Lovely Professional University leads the applicant ranking with 22 patent families, followed by Soil Information PBC at 16 and Galgotias University at 15. The top five applicants together account for 26% of the combined output of the hundred largest filers, indicating a structurally fragmented competitive landscape.
The tier gap between the leader and the rest is narrow: the top three applicants are separated by only seven patent families. This shallow gradient signals that no single organization has established a durable blocking position, and the field is still being shaped by a wide range of entrants.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | Lovely Professional University | 22 | |
| 2 | Soil Information PBC | 16 | |
| 3 | Galgotias University | 15 | |
| 4 | Plant Bioscience Limited | 7 | |
| 5 | SR University | 6 | |
| 6 | SAVEETHA INST OF MEDICAL & TECH SCI | 5 | |
| 7 | Syngenta Crop Protection AG | 5 | |
| 8 | GLA University Mathura | 4 | |
| 9 | Manipal University Jaipur | 4 | |
| 10 | Saveetha Engineering College | 4 |
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 11 | Chandigarh University | 4 | |
| 12 | THAPAR INST OF ENG & TECH | 4 | |
| 13 | The Regents of the University of Colorado | 4 | |
| 14 | Reva University | 4 | |
| 15 | Aditya | 3 | |
| 16 | Narula Institute of Technology | 3 | |
| 17 | Uttaranchal University | 3 | |
| 18 | GITAM Deemed to be University | 3 | |
| 19 | Vellore Institute of Technology | 3 | |
| 20 | Hardeep | 3 |
The dominance of academic institutions across the top ten implies that foundational and exploratory research — rather than commercialization-ready IP — constitutes the bulk of current activity. Industrial players such as Syngenta Crop Protection AG and Soil Information PBC are present but not yet dominant, suggesting the commercial race is still open.
Filing counts for 2025 and 2026 are understated due to standard publication lag; the apparent recent-period figures should be treated as lower bounds rather than a plateau. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Rapidly accelerating filings anchored in sensing and AI-driven agronomy
Two complementary views — annual filing volume and technology branch composition — reveal both the pace of growth and the technical priorities that define the field’s current center of gravity.
Annual filing trend
Activity was negligible through 2019, then began climbing in 2020 and accelerated markedly from 2023 onward, reaching 71 families in 2024 before the 2025 figures — still accruing — already stand at 155. The field is in a genuine growth phase; the apparent 2026 step-down reflects publication lag, not a real reversal.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Material analysis and testing (G01N) is the dominant branch, reflecting a heavy emphasis on in-situ and laboratory soil sensing. Business and administrative data processing (G06Q) and soil working in agriculture (A01B) rank second and third, indicating that decision-support platforms and field-management systems are nearly as active as the core sensing layer. AI model computing (G06N) and digital communications (H04L, H04W) confirm that connectivity and machine learning are increasingly integral to new filings.
↗ 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.
Additively Fabricated Capacitive Soil Moisture Sen…
A capacitive soil moisture sensor for detecting moisture levels in soil comprises a biodegradable substrate. A capacitive circuit is positioned on the biodegradable substrate. An antenna circuit is configured to communicate capacitance data. A hydrophobic, biodegradable encapsulating material encases at least the capacitive circuit. (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Optical real-time soil sensor and auto-calibration… | 48 |
| 2 | Apparatus, system and method for generating crop n… | 42 |
| 3 | Soil sensor | 40 |
| 4 | Low RF-band impedance spectroscopy based sensor fo… | 32 |
| 5 | Optical real-time soil sensor and auto-calibration… | 29 |
| 6 | Biodegradable soil sensor, system and method | 21 |
| 7 | 花生生长期精准施肥与病虫害绿色防控集成方法 | 10 |
| 8 | AEMC-IoT system: agriculture environment managed a… | 10 |
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 patent structure means for R&D investment decisions
The combination of growth-stage dynamics, shallow concentration, and a largely academic filing base creates a specific set of strategic conditions for industrial and start-up entrants to evaluate.
Growth stage: filings rising, technology boundaries still forming
The field is classified as Growth, with annual filings rising continuously since 2020 and the most recent years understated by publication lag. Core sensing and data-processing approaches are being claimed at pace, but the technology taxonomy is still broadening — branches from UAV platforms (B64C, B64U) to microbiome engineering (C12N) are appearing at low volume, suggesting the perimeter of the field is not yet fixed. Early mover advantage in sub-domains remains achievable.
Growth stageShallow leader gap: no blocking position established
The top five filers hold 26% of the combined output of the hundred largest filers, and the gap between first and third place is only seven patent families. This shallow concentration means that a focused filing campaign of moderate scale could move an organization into the top tier within a few years. Industrial players entering now face academic incumbents whose IP tends toward enabling disclosures rather than tightly scoped product claims.
Low concentrationNo co-applicant collaborations detected in current evidence
The collaboration dataset returned no co-filed patent families in this corpus, which is consistent with the predominantly single-institution academic filing pattern observed in the applicant ranking. The absence of visible cross-institution or industry-academia co-filings may reflect early-stage fragmentation rather than a structural barrier, and could represent an organizational differentiation opportunity for a well-resourced industrial partner seeking academic co-development.
Evidence pendingIndia-dominant filing base; US, China, and PCT coverage thin
India accounts for the largest share of patent records by jurisdiction, consistent with the academic filing profile. The United States, China, WIPO (PCT), and the European Patent Office each show materially lower counts. This geographic skew means that potentially valuable inventions in sensing hardware, AI inference, and agronomic decision platforms may be under-protected in the major commercial markets — a gap that industrial filers with multi-jurisdictional prosecution capability could exploit.
India-ledGo 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.
Lovely Professional University leads on volume; Soil Information PBC is the most active commercial new entrant
The top two applicants differ sharply in institutional character: the leader is a teaching university filing broadly across sensing and field management, while the primary challenger is a purpose-built public benefit corporation focused on electrochemical soil analysis.
Lovely Professional University
Lovely Professional University holds 22 patent families, the largest count in the corpus. Its technology emphasis spans material analysis and testing (G01N 33), soil working in agriculture (A01B 79), and horticulture and forestry (A01G 25), indicating a broad agronomy-plus-sensing portfolio. Momentum is classified as a new entrant based on recent filing activity of 12 families, consistent with the field’s rapid recent acceleration.
families: 22Soil Information PBC
Soil Information PBC holds 16 patent families and is the leading commercially oriented filer. Its focus is concentrated in electrochemical and materials-based soil analysis (G01N 27 and G01N 33) alongside soil working systems (A01B 79), suggesting a product-oriented sensing and field-application platform. With 14 families filed in the recent window and classified as a new entrant, it is expanding at a pace that places it on a trajectory to challenge the volume leader within the current growth cycle.
families: 16| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Lovely Professional University | 12 | ▲ new entrant |
| Soil Information PBC | 14 | ▲ new entrant |
| Plant Bioscience Limited | 1 | ▲ new entrant |
| SR University | 1 | ▲ new entrant |
| Syngenta Crop Protection AG | 3 | ▲ new entrant |
| SAVEETHA INST OF MEDICAL & TECH SCI | 3 | ▲ new entrant |
| The Regents of the University of Colorado | 3 | ▲ new entrant |
| THAPAR INST OF ENG & TECH | 2 | ▲ new entrant |
Under-served adjacent branches worth monitoring
Several branches sit at meaningfully lower filing density relative to the dominant sensing and data-processing core, and carry plausible technical value for soil health applications that warrants monitoring.
AI model computing (G06N) — inference layer underdeveloped relative to data collection
With 94 patent records, G06N is the fifth-ranked branch, well below the 313 records in material analysis and testing. Given the volume of sensor data being generated by the dominant G01N filings, the gap between data collection and intelligent inference is notable. An entrant with expertise in on-device machine learning, federated soil data models, or predictive nutrient management algorithms could file in a space that is active but not yet saturated, with a clear technical entry path through integration with existing IoT sensor hardware.
Search this in Eureka →Control and regulating systems (G05B) — closed-loop field management largely unclaimed
G05B accounts for 32 patent records, placing it in the lower-middle tier of the technology composition. Closed-loop actuation — where soil sensor readings automatically trigger irrigation, fertilization, or tillage adjustments — sits at the intersection of G01N sensing and G05B control, yet this integration appears sparse. The branch has plausible commercial value in precision agriculture platforms, and the low filing density relative to the sensing layer suggests the control-side of the stack is an underexplored area worthy of focused investigation.
Search this in Eureka →How leading applicants differ by technology route
Route coverage across the main technology branches in the current evidence set.
| Player | G01N 33 · Material analysis & testing | A01B 79 · Soil working in agriculture | G06Q 50 · Business, commerce & admin data processing | A01G 25 · Horticulture & forestry | A01C 21 · Planting & sowing |
|---|---|---|---|---|---|
| Lovely Professional University | Strong · 17 | Strong · 12 | Moderate · 6 | Moderate · 8 | Emerging · 2 |
| Soil Information PBC | Strong · 16 | Strong · 9 | Absent | Absent | Emerging · 3 |
| Galgotias University | Strong · 15 | Emerging · 3 | Emerging · 3 | Emerging · 2 | Absent |
| SR University | Strong · 6 | Absent | Strong · 4 | Absent | Moderate · 2 |
| Chandigarh University | Strong · 4 | Strong · 3 | Strong · 3 | Moderate · 2 | Absent |
| Reva University | Strong · 4 | Absent | Strong · 3 | Strong · 4 | Absent |
| Saveetha Institute of Medical and Technical Sciences | Absent | Strong · 4 | Strong · 4 | Absent | Absent |
Frequently asked questions
The analysis covers 373 patent families in soil health monitoring and management. This is the base corpus from which applicant rankings, technology composition, and jurisdiction breakdowns are derived.
Lovely Professional University leads with 22 patent families, ahead of Soil Information PBC at 16 and Galgotias University at 15. The gap between first and third is narrow at seven families, reflecting the field’s fragmented structure.
The field is classified as Growth. Annual filings have risen sharply since 2020, and the most recent years are understated due to publication lag, so the true trajectory is likely steeper than the raw numbers suggest.
India accounts for the largest share of patent records by jurisdiction, consistent with the heavy academic filing base. The United States, China, WIPO (PCT), and the European Patent Office each show substantially lower activity, indicating that key commercial markets may be under-covered — a potential gap for industrial filers with multi-jurisdictional prosecution programs.
The most-cited work in the corpus covers optical real-time soil sensing with auto-calibration (cited 48 times), crop nutrient management apparatus and methods (42 citations), a general soil sensor (40 citations), and an impedance spectroscopy-based soil sensor (32 citations). Biodegradable soil sensors and IoT-integrated agriculture environment management systems also appear among the most-referenced works.
Control and regulating systems (G05B, 32 records) and wireless communication networks (H04W, 30 records) are meaningfully less developed than the dominant material analysis branch (G01N, 313 records). AI model computing (G06N, 94 records) is growing but remains well below the sensing layer, suggesting the inference and closed-loop actuation sides of the stack are areas of relative sparsity worth monitoring.
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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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