Precision Agriculture Platform Patent Landscape 2026
Precision Agriculture Platform Patent Landscape in 2026
A single applicant, Cohen Harris Lee, commands a dominant share of this small but technically rich corpus, concentrating patent activity heavily in AI-model computing and image recognition. The field peaked in 2017 and annual volume has eased since, leaving meaningful adjacent branches — from horticulture systems to material analysis — with relatively sparse coverage.
Cohen Harris Lee leads a highly concentrated, small-corpus field
Cohen Harris Lee ranks first with 18 patent records, far ahead of all other filers. Nanjing University of Science and Technology holds second place with 2 patent records, and the remaining ranked applicants each hold a single record.
The top five filers account for 49% of the combined total across the hundred largest filers, signalling an unusually steep concentration gradient. A single entity effectively sets the technical direction for this corpus.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Cohen Harris Lee | 18 | |
| 2 | NANJING UNIV OF SCI & TECH | 2 | |
| 3 | Dr. Deepa Parasar | 1 | |
| 4 | Dr. G. Charles Babu | 1 | |
| 5 | Prof. Dr. Reena Singh | 1 | |
| 6 | KIET Group of Institutions | 1 | |
| 7 | Prof. Dr. Vandana Singh | 1 | |
| 8 | Dr. Ch. Vidyadhari | 1 | |
| 9 | Guangzhou University | 1 | |
| 10 | GHR Labs and Research Centre | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Mr. Pawan Kumar Singh | 1 | |
| 12 | G H RAISONI COLLEGE OF ENG & MANAGEMENT | 1 | |
| 13 | Dr. Varsha Jadhav | 1 | |
| 14 | Mr. Nagaraja Bodravara | 1 | |
| 15 | P. Rasagna Reddy | 1 | |
| 16 | T. Aswini Devi | 1 | |
| 17 | S. Sai Sri Harshini | 1 | |
| 18 | K. Vyshnavi | 1 | |
| 19 | P. Gopala Krishna | 1 | |
| 20 | GOKARAJU RANGARAJU INST OF ENG & TECH | 1 |
Cohen Harris Lee’s dominance in AI-model computing and image/video recognition implies that challengers pursuing differentiated technology routes — soil working, material analysis, or wireless networking — face limited direct overlap with the leader and may find those routes more accessible.
The most recent filing years (approximately 2024–2026) are subject to publication lag and likely under-represent actual activity; the apparent low counts in that window should not be read as evidence of cessation. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
A 2017 peak, intermittent activity, and an AI-dominated technology mix
The filing trend shows a pronounced 2017 burst followed by multi-year gaps, while the technology composition reveals that AI and data-processing classes collectively account for the majority of records. Together these two views suggest a field driven by a single cohort of foundational filings rather than continuous, broad-based innovation.
Annual filing trend
Filings peaked at 12 records in 2017, fell to zero for 2018–2020, recovered partially in 2021 (6 records), and have since produced single-digit annual counts. The 2024–2026 window is subject to publication lag and should be treated as a floor, not a ceiling.
↗ Hover for values · click a bar to ask EurekaTechnology composition
G06N (AI models) leads with 23 records, followed closely by G06Q (business/commerce data processing, 16), A01B (soil working, 14), G06K (data recognition, 14), and G06V (image/video recognition, 13). Agricultural-domain classes such as A01G (horticulture) and G01N (material analysis) each hold 7 records, indicating meaningful but secondary coverage.
↗ 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.
Computer-implemented methods, computer readable me…
A computer platform implements a precision agriculture system that predicts output conditions, such as diseases, salt damage, soil problems, water leaks and generic anomalies, for orchards under analysis. The computer platform stores site and crop datasets and processed satellite image for the orchards. An orchard data learned model predicts a propensity… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Computer-implemented methods, computer readable me… | 42 |
| 2 | Computer-implemented methods, computer readable me… | 34 |
| 3 | Computer-implemented methods, computer readable me… | 30 |
| 4 | Computer-implemented methods, computer readable me… | 26 |
| 5 | Computer-implemented methods, computer readable me… | 24 |
| 6 | Computer-implemented methods, computer readable me… | 22 |
| 7 | Computer-implemented methods, computer readable me… | 16 |
| 8 | 一种借助于轨道用于精准农业的平台系统 | 16 |
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
A declining lifecycle, extreme concentration in one filer, no recorded co-applicant activity, and a US-centric jurisdiction profile together define the strategic context any new entrant or incumbent must navigate.
Field is in decline phase from a 2017 peak
Annual filings have eased back from the 2017 peak of 12 records. The lifecycle stage is classified as Decline, meaning foundational positions were largely established in the earlier wave. New entrants should assess whether they are building on an established platform or targeting a genuinely open adjacent branch before committing R&D resources.
Lifecycle: DeclineOne filer holds a structurally dominant position
Cohen Harris Lee’s 18 patent records represent more than two-thirds of the top-ranked filer’s share. The tier gap to the next filer (2 records) is stark. This concentration means that any freedom-to-operate analysis must center on Cohen Harris Lee’s portfolio, particularly in AI-model and image-recognition subclasses.
High concentrationNo co-applicant activity recorded in this corpus
Evidence pending: no co-filing relationships appear in the collaboration data for this corpus. The absence of recorded consortia or joint assignees suggests the field has developed through independent, single-entity efforts rather than industry alliances. This may represent an opening for collaboration-led strategies, particularly between academic filers (several Indian and Chinese institutions are present) and commercial applicants.
No co-filings detectedUS-centric filing, with India and China as secondary jurisdictions
The United States leads with 18 patent records filed at the USPTO, followed by India with 9 and China with 3. The heavy US weighting reflects Cohen Harris Lee’s filing strategy. India’s presence — driven by individual inventors and engineering institutions — may indicate emerging grassroots innovation that has not yet consolidated into larger portfolios.
US · India · ChinaGo 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.
Cohen Harris Lee dominates; academic and individual filers populate the second tier
The player landscape divides sharply between one commercially oriented leader with a deep AI and image-recognition portfolio and a fragmented second tier of academic institutions and individual inventors, each holding a single patent record.
Cohen Harris Lee
Cohen Harris Lee holds 18 patent records, concentrated in G06N 20 (AI models, 17 records), G06K 9 (data recognition, 13 records), and G06V 10 (image/video recognition, 12 records). This deep specialization in perception and inference layers of the precision agriculture stack positions the firm as the defining prior-art reference for any AI-driven platform development. No momentum data in the applicant momentum evidence maps directly to this filer, indicating a stable rather than rapidly accelerating recent trajectory.
patent records: 18Nanjing University of Science and Technology
Nanjing University of Science and Technology holds 2 patent records with a technology focus on G01N 21 (material analysis), G08C 17 (transmission of measured values), and H04L 29 (digital information transmission) — a sensor-and-connectivity emphasis that is largely orthogonal to the leader’s AI stack. This differentiated route reduces direct conflict with Cohen Harris Lee and could serve as a collaboration anchor for hardware-oriented partners.
patent records: 2| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| MANISH KUMAR | 2 | ▲ new entrant |
| T. Aswini Devi | 1 | ▲ new entrant |
| SURYANSH SINGH | 1 | ▲ new entrant |
Under-served branches adjacent to the dominant AI-platform core
Several IPC classes appear at relatively low record counts compared to the leading AI and data-processing classes, suggesting areas where patent density is thin relative to the technical scope of precision agriculture. These are observations of relative sparsity; their commercial relevance requires independent validation.
A61B · Diagnosis and surgery (agricultural health monitoring)
Only 3 patent records are assigned to A61B within this corpus, the lowest count among the white-space branches identified. The technical adjacency to precision agriculture lies in plant or livestock physiological monitoring — an area where diagnostic sensor methods adapted from medical imaging could offer differentiated value. SR University is the sole identified filer in this subspace, leaving it largely open. An entry path could involve adapting existing biosensor or imaging diagnostics to crop or animal health sensing, a route that does not require displacing Cohen Harris Lee’s AI-platform position.
Search this in Eureka →G06T · Image data processing and generation
G06T holds 5 patent records — sparse relative to the closely related G06V (13 records) and G06K (14 records) classes that dominate the corpus. Advanced image processing techniques such as 3D reconstruction, multispectral analysis, or generative data augmentation for crop assessment are plausible technical extensions with limited current coverage. SR University and individual filers represent the thin existing base. Researchers with computer-vision backgrounds could target this branch to build positions that complement rather than collide with Cohen Harris Lee’s recognition-layer patents.
Search this in Eureka →How leading filers diverge across technology routes
Strength of each leader across the main technology routes.
| Player | G06N 20 · Computing based on AI models | G06Q 50 · Business, commerce & admin data processing | G06K 9 · Data recognition & presentation | A01B 79 · Soil working in agriculture | G06V 10 · Image/video recognition |
|---|---|---|---|---|---|
| Cohen Harris Lee | Strong · 17 | Strong · 9 | Strong · 13 | Strong · 9 | Strong · 12 |
| Dr. Deepa Parasar | Strong · 1 | Strong · 1 | Absent | Strong · 1 | Absent |
| Dr. Pradip Kumar Saini | Strong · 1 | Strong · 1 | Absent | Strong · 1 | Absent |
| Dr. Suhana Puri Goswami | Strong · 1 | Strong · 1 | Absent | Strong · 1 | Absent |
| Dr. Varsha Jadhav | Strong · 1 | Strong · 1 | Absent | Strong · 1 | Absent |
| KIET Group of Institutions | Strong · 1 | Absent | Absent | Strong · 1 | Absent |
| Mr. Chandan K R | Strong · 1 | Absent | Absent | Strong · 1 | Absent |
Frequently asked questions
The corpus covers 27 patent families. This is a relatively small corpus, which makes the dominant position of a single filer especially pronounced and means that even one or two new filings can shift the competitive picture meaningfully.
Cohen Harris Lee is the top-ranked filer with 18 patent records. The next-ranked filer, Nanjing University of Science and Technology, holds 2 patent records — a gap that makes Cohen Harris Lee the defining prior-art reference for the core AI-platform and image-recognition claims in this space.
The field is classified in the Decline stage. Annual filings peaked in 2017 at 12 records and have eased since, with intermittent activity in 2021 and smaller counts in 2024–2025. The most recent years are affected by publication lag and likely undercount actual activity.
G06N (computing based on AI models) leads with 23 patent records, followed by G06Q (business and commerce data processing, 16), A01B (soil working in agriculture, 14), G06K (data recognition and presentation, 14), and G06V (image and video recognition, 13). The top classes reflect a platform architecture combining AI inference, agricultural domain logic, and perception.
The United States leads with 18 patent records, followed by India with 9 and China with 3. The US concentration largely mirrors Cohen Harris Lee’s filing strategy, while India’s presence reflects activity from individual inventors and engineering colleges.
No co-applicant or co-filing relationships are recorded in the evidence for this corpus. All identified filers appear to have pursued independent, single-entity filing strategies, which is consistent with the fragmented second tier of individual inventors and small academic institutions.
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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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