Greenhouse Automation Patents: Who Leads, Where the Gaps Are 2026
- Filing is accelerating sharply, not steadily. the midpoint year 2022 shows zero filings against a peak of 12 in the most recent year, so nearly all activity in this dataset is recent.
- India dominates the filing base. 20 of 28 published records route through the Indian patent office, far ahead of China, EPO and South Korea combined.
- Horticulture claims dominate, but AI is entering fast. A01G appears in 23 of 28 records while G06N (AI models) already appears in 8, signalling a shift toward algorithmic control claims.
What this landscape covers
This dataset tracks patent families at the intersection of greenhouse climate control, CO2 enrichment, supplemental lighting and environmental control systems, filtered to A01G9/24, A01G7/045 and G05D classifications. It captures 28 published records filed between 2015 and mid-2026, spanning horticulture-specific hardware claims through to software and AI-driven control logic layered on top of it.
Publication typically lags filing by around 18 months, so the most recent year in any trend line understates real filing activity. Treat the latest data point as a floor, not a ceiling.
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Filing trends and technology composition
Two views of the same 28-family dataset: how filing volume has moved year over year, and how those filings distribute across IPC subclasses.
From near-zero to double digits in under a decade
Filings moved from 2 in 2017 to 0 at the 2022 midpoint, then to 12 in the most recent year. That non-linear path suggests a recent triggering event — likely falling sensor and compute costs plus AI-control tooling maturing — rather than steady organic growth.
Horticulture hardware still anchors the field
A01G (horticulture and forestry) appears in 23 of 28 records, confirming that most filings are still anchored to physical greenhouse structures and environmental hardware. G06Q (business/commerce data processing), G05D and G06N each appear in a meaningful minority, pointing to a growing software and analytics layer riding on top of the hardware base.
Shares are the percentage of the 28 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
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Try EurekaThe most-cited records in this corpus
WO2019202495A1 — Greenhouse control system
The present invention is directed to computerized agricultural systems and methods for controlling and managing plant development, from seeding through harvest, in greenhouses and other agricultural production facilities.Filed by Growponics Greenhouse Technology Ltd., published 2019-10-24, this PCT filing frames greenhouse control as a full lifecycle management system rather than a single-variable controller — a broader claim posture than most of the corpus.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | CN205596721U | 一种基于物联网的智能化多功能庭院温室系统 | 13 |
| 2 | KR1020120072552A | System and method for controlling a green house | 11 |
| 3 | KR1020180126277A | Environment Control Apparatus, Method, and System for Multi-Cover Green House | 4 |
| 4 | IN202541077870A | System and method for predicting growth and yield of ficus plants using machine learning | 2 |
| 5 | WO2019202495A1 | Greenhouse control system | 1 |
Citation counts favour older records simply because they have had longer to accumulate citations inside this corpus — read them as a signal of influence, not current relevance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Publication numbers are shown where the record carries one (5 of 5 rows); clicking a row searches Eureka by that number.
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Browse MCP servers →What the numbers say about this field
Three patterns stand out once family counts, filing years and IPC codes are lined up against each other.
Growth is compressed into the last few years
A flat or empty midpoint followed by a sharp run-up to 12 filings in the most recent year means almost the entire filing history in this space has accumulated recently. Competitive positioning here is still being decided, not settled.
India is the centre of gravity for this filing set
China, the EPO, South Korea and the WIPO PCT route account for the remainder. A filing strategy built only around China or Europe would miss the majority of the activity captured here.
AI-based control logic is a distinct, growing claim layer
Nearly a third of records now touch machine-learning classifications alongside traditional G05D/G05B control claims, suggesting predictive and adaptive control logic is becoming a separate front for new filings rather than an incremental feature.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to greenhouse automation controlled environment, with the prior art for and against each one.
Who is filing, and what they are filing on
The assignee base is fragmented rather than concentrated: recent-year momentum is spread across university-affiliated filers rather than a single dominant commercial player.
Academic filers lead current-year activity
Galgotias University shows the strongest recent-year filing count in this dataset, ahead of other university-affiliated applicants such as Lovely Professional University and Vellore Institute of Technology Chennai, both filing in the latest year.
Early Chinese and Korean filings still anchor citation counts
The most-cited records in this corpus were filed years before the current filing surge, and their high citation counts reflect time in the corpus more than ongoing commercial relevance today.
Co-filing is rare in this dataset
Only one co-assignee pairing recurs, linking two affiliated Xi'an-based entities. Most records in this corpus are filed by a single assignee, with little evidence yet of joint-venture or cross-licensing filing patterns.
| Assignee | Recent year | YoY |
|---|---|---|
| GALGOTIAS UNIVERSITY | 2 | — |
| Lovely Professional University | 1 | — |
| VELLORE INST OF TECH CHENNAI | 1 | — |
| Growponics Greenhouse Technology Ltd. | 0 | — |
| Korea Institute of Science and Technology (KIST) | 0 | — |
| Guo Limin | 0 | — |
| Xi'an Mingshi Electromechanical Development Co., Ltd. | 0 | — |
| Xi'an Mingshi CNC Machine Tool Co., Ltd. | 0 | — |
Where to take this analysis
The filing surge captured here is recent and still forming. Two follow-on questions matter most for anyone deciding where to file or partner.
Track the AI-control claim layer separately
G06N appears alongside traditional control classifications in a growing share of records. Watch whether these become independent claim sets or stay bundled with hardware claims.
Explore AI-control filings in Eureka →Watch India's filing base for commercial conversion
The bulk of records here are Indian-filed and skew academic. Whether these convert into PCT or commercial filings over the next 18 months will signal whether this is a research wave or a market entry.
Monitor filing conversion in Eureka →Common questions about this landscape
This dataset covers 28 published patent families filed between 2015 and mid-2026, classified under horticulture, environmental control and related IPC codes. Filing activity was minimal through the early years, dropped to zero at the 2022 midpoint, then rose sharply to 12 in the most recent year. Because publication lags filing by roughly 18 months, the true 2026 figure is likely higher once later filings publish.
India accounts for 20 of the 28 records in this dataset, making it the dominant receiving office by a wide margin. China, the European Patent Office and South Korea each contribute a small number, and one record was filed through the WIPO PCT route. Anyone benchmarking competitive filing activity in this space should treat India as the primary jurisdiction to monitor, not a secondary one.
Yes. Eight of the 28 records in this dataset carry G06N classifications, which cover computing based on AI models, alongside more traditional control classifications like G05D and G05B. This suggests predictive or adaptive control logic is emerging as a distinct claim strategy rather than simply an added feature on top of existing hardware controllers.
Recent-year momentum in this dataset is led by Galgotias University, with two filings in the latest year, followed by Lovely Professional University and Vellore Institute of Technology Chennai, each with one. This points to an academically-driven filing wave rather than a single commercial leader consolidating the space, which is different from more mature agtech categories.
WO2019202495A1, filed by Growponics Greenhouse Technology Ltd. and published in October 2019, frames greenhouse control as a full lifecycle management system spanning seeding through harvest, rather than a narrow single-variable controller. Its breadth means new entrants building lifecycle-style greenhouse management platforms should review its claims closely, though narrower single-function controllers, such as CO2 dosing or lighting-only systems, are less likely to fall inside its scope. A freedom-to-operate review specific to the claimed system architecture is advisable before committing to a similarly broad platform design.
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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.