Forestry Technology Patents: Who Leads, Where the Gaps Are 2026
- One assignee dominates a small field. the ranking's leader holds 14 of the records tracked, against a long tail where fifth place holds just 1.
- Filings are still low-volume but growing fast. the 2021→2024 span (the last complete years) shows filings rising from 1 to 5, a +400% increase.
- Sensing and imaging outweigh mechanical claims. G01C, G01N, G06T and G06V together cover more records than A01B soil-working equipment, suggesting the active claim space is data capture, not the harvester or tiller itself.
Filing growth compares 2021 (1 records) with 2024 (5) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field.
What this dataset covers
This landscape draws on 30 published records matched against forest and agricultural monitoring terms combined with condition- and quality-tracking language — biomass inventory, soil condition, crop monitoring, harvest quality. The scope is deliberately narrow: it targets the intersection of forestry or agricultural equipment with the sensing and condition-assessment methods layered on top of it, not forestry machinery in general. Publication lags filing by roughly 18 months, so the most recent one to two years in any trend understate actual filing activity.
Coverage runs from 2015 through the 2026-08-31 data cut-off, with 16 assignees appearing in the ranking the data endpoint returns. Receiving-office activity centres on the United States, with the European Patent Office, India and the WIPO PCT route each contributing a smaller share, and Germany and Austria appearing as secondary filing destinations.
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Filing trend and technology composition
Two views of the same 30-record set: the year-by-year filing count, and the IPC subclasses those filings sit under. Because a single record can carry more than one classification, the subclass shares below add up to well over 100% of the record total.
Filing trend, 2017-2026
Filings peaked so far in 2017 at 17 records, dropped sharply afterward, and have been rebuilding since — 2021 to 2024 (the last year that can be treated as complete) shows a rise from 1 to 5 filings, a +400% increase. Treat 2025 and 2026 as still filling in rather than as a decline.
Technology composition by IPC subclass
A01G (horticulture and forestry) leads at 50.0% of the 30 records, closely followed by G01C (distance, navigation and gyroscopes) and G01N (material analysis and testing) at 46.7% each. Image-processing classes G06T and G06V each sit at 36.7%, and A01B soil-working equipment trails at 26.7% — the mechanical end of the field is being claimed less than the sensing and imaging layer on top of it.
Shares are the percentage of the 30 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Forestry Technology Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about forestry technology patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaMost-cited records in the set
Internet of things system (US20250071040A1)
The filing describes flexible scheduling, self-healing and high-utilisation stability for cellular network communications, covering communication interval, transmit power, data rate, channel delay, spectrum occupancy, source and channel coding, signal-to-noise ratio, packet loss rate, channel occupancy and modulation scheme, among other network parameters.Filed by China Entropy Co., Ltd., published 2025-02-27.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20190335674A1 | Methods for mapping temporal and spatial stability and sustainability of a cropping system | 152 |
| 2 | US20250071040A1 | Internet of things system | 92 |
| 3 | US20190179009A1 | Crop classification and growth tracking with synthetic aperture radar | 51 |
| 4 | WO2018081043A1 | Methods for mapping temporal and spatial stability and sustainability of a cropping system | 35 |
| 5 | US20190155237A1 | Remote control of multiple different machines | 14 |
| 6 | US20200256978A1 | Crop classification and growth tracking with synthetic aperture radar | 8 |
| 7 | US20250022382A1 | Systems, Methods, and Processes for Machinery Evaluation | 6 |
| 8 | US10705204B2 | Crop classification and growth tracking with synthetic aperture radar | 5 |
| 9 | WO2025015050A2 | Systems, methods, and processes for machinery evaluation | 2 |
| 10 | US11327171B2 | Crop classification and growth tracking with synthetic aperture radar | 2 |
Citation counts reward older filings that have had more time to accumulate citations within the searched corpus; read them as a signal of influence on this dataset, not as a ranking of current technical importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Browse MCP servers →What the numbers mean for filing strategy
The dataset is small and unevenly distributed, which changes how its figures should be read: a single well-timed filing can move a percentage more than it would in a larger field.
One assignee, a long tail behind it
The leading assignee in the 16-company ranking holds 14 records, while fifth place holds just 1. That gap means most of the field's remaining claim space is unclaimed rather than contested — a new entrant is more likely to face a single incumbent than a crowded field.
Growth from a low base
Filings rose from 1 in 2021 to 5 in 2024, the last year in this dataset that can be treated as complete. The percentage is large because the base is small; it signals renewed interest rather than an established filing wave.
Sensing layered on forestry equipment
A01G forestry and horticulture classifications appear on half of all records, but G01C, G01N, G06T and G06V — navigation, material analysis and image processing — each appear on more than a third. The claim activity sits as much in how conditions are sensed and interpreted as in the equipment itself.
US-centred, with a PCT and EPO tail
The United States receives the largest share of filings in this set, with the European Patent Office, India and the WIPO PCT route each contributing smaller counts. Applicants pursuing multi-jurisdiction protection are still routing primarily through the US and Europe.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to forestry technology patent landscape, with the prior art for and against each one.
Who is filing, and what's still open
The ranking is short and top-heavy. Most named entities in it are academic departments and individual research groups with a single filing each, sitting behind one clearly dominant corporate assignee.
The dominant filer
One assignee accounts for 14 of the records in the 16-company ranking, far ahead of any other entrant. Its filings anchor the field's most-cited records, including the top two by citation count.
Single-filing entrants
Below the leader, most assignees in the ranking hold a single record apiece, including several university departments and individual professors filing independently rather than through a corporate research arm. This pattern suggests exploratory, not yet consolidated, interest.
Academic co-filing clusters
Ten co-assignee pairs appear in the dataset, mostly linking individual academic researchers across departments at the same or nearby institutions rather than corporate joint filings. No pair recurs more than once, so no stable partnership has yet formed.
| Assignee | Recent year | YoY |
|---|---|---|
| Board of Trustees of Michigan State University | 0 | — |
| Deere & Co. | 0 | — |
| International Business Machines Corporation | 0 | — |
| SAG LLC | 0 | — |
| China Entropy Co., Ltd. | 0 | — |
| VEMU INSTIUTE OF TEHCNOLOGY | 0 | -100% |
| DR S JEELANI PROFESSOR & DIRECTOR VIRTUAL LEARNING CENT UNIV OF HYDERABAD CITY CAMPUS | 0 | — |
| DR S CHINA RAMU PROFESSOR DEPT OF CSE CHAITANYA BHARATHI INST OF TECH A | 0 | — |
Where to take this analysis
The figures above describe the field as it stands in this dataset. Turning them into a filing or freedom-to-operate decision means going record by record.
Map the leader's actual claim scope
Fourteen records under one assignee is a ranking position, not a claim map. Reading the independent claims of that assignee's most-cited filings shows exactly what is blocked before you draft around it.
Explore claims in EurekaTest the under-claimed branches
Soil-condition sensor fusion and radar-based biomass inventory show low filing density in this set. A quick prior-art pull against those specific IPC combinations tells you whether that's genuine white space or just this dataset's blind spot.
Run a white space search in EurekaWatch the momentum, not just the peak
2017's peak of 17 filings is old news; the +400% rise from 2021 to 2024 is the more relevant signal for current strategy. Track new publications as they land rather than anchoring on the historical high.
Set up monitoring in EurekaCommon questions about forestry technology patents
In this dataset, one assignee leads the 16-company ranking with 14 of the records, well ahead of every other entrant. The rest of the ranking is a long tail: fifth place and tenth place each hold just 1 record. That gap means the field currently has a single clear incumbent rather than several competing large filers, which changes how a freedom-to-operate search should be prioritised.
Filings are growing from a small base. Looking at 2021 to 2024, the last year in this dataset that can be treated as complete, filings rose from 1 to 5, a +400% increase. Numbers for 2025 and 2026 look lower only because publication typically lags filing by roughly 18 months, so those years are still filling in and should not be read as a slowdown.
The dataset splits fairly evenly between core forestry and horticulture equipment (IPC class A01G, 50.0% of the 30 records) and sensing or imaging methods layered on top of it: navigation and distance measurement (G01C), material analysis (G01N), and image processing (G06T, G06V) each appear on over a third of records. Soil-working equipment (A01B) trails at 26.7%. This suggests the more active claim space right now is how forestry conditions are sensed and analysed, not the mechanical equipment itself.
US20250071040A1, filed by China Entropy Co., Ltd. and published 2025-02-27, describes an Internet of Things system focused on cellular network communication scheduling and stability — parameters like transmit power, data rate, channel delay, spectrum occupancy and modulation scheme. It is a communications-infrastructure claim, not a forestry-specific one, so it would only matter to a forestry sensing product if that product's data transport layer overlaps with the specific network-parameter combinations claimed. Anyone building IoT-connected field sensors should check the claim language directly rather than assume relevance from the abstract alone.
The low-density combinations in this dataset are soil-condition sensor fusion tied to A01B equipment, radar or sonar-based biomass inventory methods under G01S, and data-recognition pipelines for harvest quality under G06K — each represented by only a handful of the 30 records. These are not guaranteed gaps, since a 30-record dataset can simply miss adjacent filings, but they are the sub-areas with the least claim density relative to the core A01G and G01C/G01N classes.
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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.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.