Vertical Farming Crop Monitoring Patents: Leaders & Filing Surge 2026
A data-led review of vertical farming crop monitoring patents: who leads filings, how fast the field is growing, and where the technology is heading through 2026.
Filing growth = 2021 (3 records) → 2024 (16); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 75 records in scope (CR5), not the ranked leaders only.
What counts as a vertical farming crop monitoring patent here
This landscape covers patent filings and publications that combine controlled-environment or indoor farming with sensing, imaging or monitoring of crops, filtered to IPC classes covering horticulture, machine vision and AI. The scope spans 2015 through the 2026 data cut-off, capturing the period in which indoor growing operations shifted from manual scouting to instrumented, data-driven crop management.
The 75 records in scope are dominated by horticulture-specific claims, but a meaningful minority extend into robotics, control systems and machine analysis — signalling that monitoring is increasingly bundled with automated response rather than treated as a standalone sensing problem.
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Filing trend and technology composition
The filing trend and IPC mix below are drawn directly from the 75 records in scope, with no adjustment beyond the date range and class filters used to build the dataset.
A field that stayed flat, then accelerated sharply
Annual filings sat near zero through the late 2010s before rising to a peak of 16 in 2024, up from 3 in 2021 — a +433% increase over that three-year span. Because publication lags filing by roughly 18 months, the 2025 and 2026 figures are still incomplete and should not be read as a slowdown.
Publication lags filing by roughly 18 months, so 2025 onwards are still filling in. Growth rates on this page therefore end at 2024; running them to the last bar would understate the field.
Horticulture claims dominate; AI and robotics are still thin
A01G (horticulture & forestry) appears in 97.3% of records, confirming that nearly every filing anchors its claims in the physical growing process. Business-process claims (G06Q) reach 9.3%, control systems (G05B/G05D) sit near 5–8%, and AI-model claims (G06N) and robotics (B25J) each cover only 4.0% of records — the computational and mechanical layers built on top of sensing are comparatively under-claimed.
Shares are the percentage of the 75 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Vertical Farming Crop Monitoring Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about vertical farming crop monitoring patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited patents in this space
AI-managed energy across combined vertical farm and greenhouse cycles
The representative filing describes software that manages and optimizes energy consumption across a vertical farm and greenhouse operating on a combined cycle, using a grid of solar panels, a solar battery, and sensors distributed through the vertical farm. Heating and cooling are managed per plant type and growth stage, with a combined-cycle sensor and instrumentation feeding data from both environments into a shared control loop, including an outdoor light sensor that estimates solar conditions feeding the panel grid.Filed by Plant Culture Systems Inc., published December 2024.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20200352113A1 | Method and apparatus for high-density indoor farming | 32 |
| 2 | WO2019204805A1 | Integrated sensor assembly for led-based controlled environment agriculture (CEA) lighting, and methods and a… | 20 |
| 3 | US20200163286A1 | Smart greenhouse and components thereof | 12 |
| 4 | WO2022084516A1 | Autonomous robot and method for operating an autonomous robot | 7 |
| 5 | US20240033940A1 | Aerial sensor and manipulation platform for farming and method of using same | 4 |
| 6 | US20220400620A1 | Controlled environment agriculture method and system for plant cultivation | 4 |
| 7 | WO2022157306A1 | A data collection and monitoring system, a controlled environment farming system, devices and related methods | 4 |
| 8 | WO2024220382A1 | Enclosed high-density farming environment and system | 3 |
| 9 | KR1020240085335A | Method and device for controlling a crop cultivation device using a badge tower | 3 |
| 10 | US11775828B2 | AI-powered autonomous plant-growth optimization system that automatically adjusts input variables to yield de… | 3 |
Citation counts reflect influence within the searched corpus and skew toward older publications; treat them as a signal of prior attention, not current market weight.
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Browse MCP servers →What the numbers mean for filing strategy
Four figures from this dataset matter more than the rest for anyone deciding where to file, litigate, or build next in vertical farming crop monitoring.
The field concentrated fast despite its youth
With the top 5 assignees holding 52.0% of all 75 records and the top 10 holding 66.7%, a handful of companies established strong filing positions early. New entrants face a crowded field at the top even though the technology itself is barely a decade old in this form.
Filings accelerated sharply from a low base
Annual filings rose from 3 in 2021 to a peak of 16 in 2024. That is a real inflection, not noise from a single large filer, and it lines up with the commercial rollout of instrumented indoor farms during the same period.
Almost every filing anchors on the physical crop
A01G appears in 97.3% of the 75 records, meaning nearly every applicant ties its sensing or monitoring claim back to a horticultural process step. Filings that skip this anchor and claim only the software or control layer are rare.
The AI layer is thin relative to the sensing layer
Only 4.0% of records carry G06N (AI-model) claims and the same share carries B25J (robotics) claims, versus 97.3% for horticulture. Monitoring data is being generated widely, but claims on how that data is modelled or acted on autonomously remain comparatively rare.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to vertical farming crop monitoring patent landscape, with the prior art for and against each one.
Where to take this analysis
The figures above describe the field as it stands at the 2026 data cut-off. Turning them into a filing or freedom-to-operate decision means going deeper on specific claims and specific assignees.
Map claim boundaries around the representative filing
Run a claim-by-claim comparison against the combined-cycle energy management filing to see exactly what is blocked versus what remains open for new sensor-and-control architectures.
Explore claims in Eureka →Track the leaders as filings mature
With 2025–2026 filings still incomplete due to publication lag, set an alert on the leading assignees to catch newly published applications as they surface.
Set up monitoring in Eureka →Test white space in AI-model and robotics claims
G06N and robotics claims sit at just 4.0% of records each — model a first claim in this area before the space fills in.
Draft claims in Eureka →Common questions about vertical farming crop monitoring patents
This dataset contains 75 published records covering 2015 through the 2026 data cut-off, filtered to controlled-environment and indoor farming combined with sensing, imaging or monitoring under horticulture and machine-vision IPC classes. The count reflects publications, not granted patents, so some records are still pending examination. Because publication lags filing by roughly 18 months, the true count for 2025 and 2026 filings will rise as later publications appear.
The ranking covers 42 companies, with the leader holding 15 records and the field concentrating quickly: the top 5 assignees together hold 52.0% of all 75 records, and the top 10 hold 66.7%. This is a full ranking of the assignees the dataset returns, not a curated top-50 or top-100 list. Beyond the leaders there is a long tail of single- or double-filing entrants, typical of a technology still in its commercialisation phase.
It is growing, sharply. Filings rose from 3 in 2021 to a peak of 16 in 2024, a +433% increase over that three-year span, with 2024 the most recent year that can be treated as complete. The 2025 and 2026 figures look lower only because publication lags filing by roughly 18 months — they should not be read as a decline.
Almost all filings — 97.3% of the 75 records — carry an A01G horticulture and forestry classification, meaning nearly every claim ties back to the physical growing process. Smaller but notable shares touch business-process data handling (G06Q, 9.3%), control and regulating systems (G05B, 8.0%; G05D, 5.3%), and smaller slices still cover robotics (B25J), material analysis (G01N) and AI models (G06N), each at 4.0%. Because records can carry multiple classes, these shares add up to more than 100%.
The clearest gap sits above the sensing layer: AI-model claims (G06N) and robotic manipulation claims (B25J) each cover only 4.0% of the 75 records, far below the 97.3% covering basic horticultural sensing. That suggests the data-generation layer is well claimed but the layers that interpret and act on that data autonomously are comparatively open. A first claim combining crop-specific sensor data with an autonomous control action, rather than sensing alone, is less likely to run into dense prior art here.
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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.