Precision Agriculture Platform Crop Sensing Patent Landscape
Precision Agriculture Platform Crop Sensing Patent Landscape in 2026
The precision agriculture platform crop sensing corpus is extremely small, comprising 4 patent families filed exclusively by a single applicant, COHEN HARRIS LEE, all registered in the United States. Activity is concentrated in 2017 with no recorded filings in subsequent years, placing this as a nascent or dormant niche with wide-open entry possibilities for new participants.
Single-applicant domain with total concentration
COHEN HARRIS LEE holds all 4 patent families in scope, ranking first and alone in the applicant table. No other filer appears in the corpus.
Concentration is absolute: the top five filers’ share of the hundred largest filers is 100%, reflecting the fact that only one assignee is present. There is no second tier.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | COHEN HARRIS LEE | 4 |
This position implies that any organisation entering the space starts with no established multi-player competition to navigate, but must contend with the existing COHEN HARRIS LEE portfolio when designing around.
All filings carry a 2017 priority date; the absence of records after 2017 should be interpreted cautiously given typical publication lag, though the gap here is large enough to suggest genuine inactivity rather than lag alone.
A single filing cohort and an AI-first technology mix
All activity in the corpus occurred in 2017; the trend line is flat thereafter. The technology composition is dominated by AI computing methods, with secondary coverage in horticulture, material analysis, and image processing.
Annual filing trend
Four patent families were filed in 2017; recorded activity is zero for every subsequent year through 2026. Given typical 18-month publication lag, absence of filings in 2025–2026 should be treated as potentially under-counted, but the sustained zero from 2018 onward suggests genuine dormancy rather than lag alone.
↗ Hover for values · click a bar to ask EurekaTechnology composition
G06N (Computing based on AI models) is the dominant branch, appearing in all 4 families. A01G (Horticulture and forestry), G01N (Material analysis and testing), G06F (Electric digital data processing), G06K (Data recognition and presentation), and G06T (Image data processing and generation) each appear in 2 families. A01B (Soil working in agriculture) and G06Q (Business, commerce and admin data processing) appear in 1 family each, marking them as the sparsest branches.
↗ 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… | 26 |
| 3 | Computer-implemented methods, computer readable me… | 24 |
| 4 | Computer-implemented methods, computer readable me… | 4 |
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 decisions
The corpus is dominated by a single assignee with an AI-centric approach filed in a single year. The implications for R&D teams differ sharply depending on whether they are entering, expanding, or defending.
Nascent or dormant niche with no lifecycle signal
The evidence does not support a formal lifecycle stage assignment. All 4 families date to 2017, and no filings are recorded after that year. This pattern is consistent with either a very early-stage niche that was seeded but not continued, or a deliberate portfolio pause. R&D teams should not assume the space is mature or declining without broader market evidence.
Nascent / dormantTotal single-applicant control of a tiny corpus
COHEN HARRIS LEE accounts for every patent family in scope. While this creates a clear freedom-to-operate consideration, the small absolute size of the portfolio means that design-around paths or continuation filings by new entrants could rapidly shift the balance. Any second entrant would immediately become the field’s second-largest filer.
Maximum concentrationNo co-applicant activity recorded
Evidence pending: the collaboration data contains no co-filing relationships. All families are assigned solely to COHEN HARRIS LEE. This absence of consortium or university partnerships leaves the ecosystem structurally open for collaborative development by new entrants who could use joint filings to build portfolio breadth quickly.
No co-filingsUS-only jurisdiction with no international coverage
All 4 patent families are registered in the United States only. No PCT, EPO, or national-phase equivalents appear in the corpus. This means freedom to operate outside the United States is, on current evidence, unrestricted by this portfolio — a significant opening for non-US market entry or for parallel filing strategies in Europe, China, and other agricultural markets.
US-onlyGo 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: sole filer with an AI and horticulture focus
Only one applicant appears in the ranking. The leader and challenger card below reflects this; the challenger position has no evidence-supported occupant.
COHEN HARRIS LEE
COHEN HARRIS LEE holds all 4 patent families in scope, with technology emphasis on G06N 20 and G06N 5 (AI models) and A01G 17 (horticulture and forestry). All filings are concentrated in 2017; no momentum data for subsequent periods is available from the evidence.
families: 4No challenger identified
No second applicant appears in the corpus. The challenger position is structurally vacant. Any organisation filing in this space would immediately become the second-ranked filer.
families: 0Under-served branches adjacent to the dominant AI core
Two IPC branches appear in only 1 family each, representing relative sparsity within the existing corpus. Both carry plausible technical value for precision agriculture workflows.
A01B · Soil working in agriculture
This branch covers tillage, soil preparation, and mechanised field operations — areas where real-time crop sensing data could directly inform variable-rate interventions. With only 1 family in scope and no competing filers, it is an under-served adjacent branch. A realistic entry path exists for teams combining soil sensor hardware with the AI inference layer already established in the dominant G06N branch.
Search this in Eureka →G06Q · Business, commerce & admin data processing
This branch captures farm management platforms, crop market analytics, and agronomic decision-support applications. Only 1 family touches it in this corpus. Sparse coverage here does not by itself confirm a technical gap, but teams building end-to-end precision agriculture platforms that monetise sensing data through subscription or marketplace models may find limited blocking art in this direction.
Search this in Eureka →Technology route comparison across leading applicants
Strength of each leader across the main technology routes.
| Player | G06N 20 · Computing based on AI models | G06N 5 · Computing based on AI models | A01G 17 · Horticulture & forestry | A01G 25 · Horticulture & forestry | A01G 7 · Horticulture & forestry |
|---|---|---|---|---|---|
| COHEN HARRIS LEE | Strong · 4 | Strong · 4 | Moderate · 2 | Moderate · 2 | Moderate · 2 |
Frequently asked questions
The in-scope corpus contains 4 patent families, all assigned to COHEN HARRIS LEE and all registered in the United States.
COHEN HARRIS LEE is the sole and therefore leading filer, holding all 4 patent families in scope. No other applicant appears in the ranking.
G06N (Computing based on AI models) is the dominant branch, present across all 4 families. A01G, G01N, G06F, G06K, and G06T each appear in 2 families, forming a secondary tier.
All recorded filings carry a 2017 date, with zero activity registered from 2018 through 2026. While the most recent 18–24 months can be under-counted due to publication lag, the sustained gap from 2018 onward suggests the corpus is currently dormant rather than actively growing.
On the basis of current evidence, all 4 families are registered in the United States only. No PCT or foreign national-phase equivalents appear in the corpus, which may indicate freedom to operate in other jurisdictions — though independent freedom-to-operate analysis is always advisable.
A01B (Soil working in agriculture) and G06Q (Business, commerce and admin data processing) each appear in only 1 family and represent the sparsest branches in the corpus. Both are adjacent to the dominant AI core and may offer entry points for new filers, subject to broader prior-art search.
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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.