Fastest
Eureka on the web
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →https://www.patsnap.com/resources/blog/rd-blog/irrigation-scheduling-with-soil-moisture-sensing-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Agricultural MachineryIrrigation Scheduling with Soil Moisture Sensing Patents
- 47.3% concentration at the top. The five most active filers hold 53 of 112 records in scope — filing is concentrated, not fragmented.
- Horticulture and material analysis dominate. A01G and G01N each cover roughly half of records, while AI-related G06N and wireless H04W sit near 14% — the sensing hardware base is claimed far more densely than the software layer above it.
- US filings lead, but India is close behind. 35 records route through the United States and 29 through India, ahead of WIPO, Europe, Australia and Canada combined.
112
Published Records
47%
Top-5 Share of All Records
US
Leading Jurisdiction
100
Active Filers Ranked
Top-5 share is the combined record count of the five largest assignees divided by all 112 records in scope (CR5), not by the ranked leaders only.
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview
What this landscape covers
This landscape maps 112 published records at the intersection of irrigation scheduling and soil moisture sensing — filings that combine terms like capacitance probe, tensiometer reading, sensor placement and evapotranspiration estimate with irrigation scheduling or soil moisture sensing claims. The scope spans hardware for measuring soil water status, the control logic that triggers a valve or pump, and the data layer that turns sensor readings into a scheduling decision.
Filing activity runs from 2015 through the 2026 cut-off, with the most recent year understated because publication typically lags filing by around 18 months. Peak filing so far sits in 2025 at 18 records, and the ranked leader alone accounts for 13 of the 112 records in scope.
Filing activity by year, 2017–2026
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Irrigation Scheduling with Soil Moisture Sensing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Let an AI agent run this analysis on your own technology
Pick a task. Every answer cites the patents behind it.
10,000 free credits to start
The Data
Filing trends and technology composition
Two views of the same 112 records: how filing activity has moved year over year, and which IPC subclasses carry the claim density.
Filing trend, 2017–2026
Filings moved from 4 in 2017 to a peak of 18 in 2025, with 9 recorded in 2026 so far. A growth rate is not stated here because fewer than four complete years remain once publication lag is accounted for — the 2026 figure will rise as filings continue to publish.
IPC subclass composition
A01G (horticulture and forestry) and G01N (material analysis and testing) each cover close to half of all 112 records, confirming that the core claim territory is still soil-facing hardware and measurement method rather than software. G06Q, G06N and H04W each sit near 14-16%, showing the data and connectivity layer is present but far less crowded. Because a single record can carry several IPC codes, these shares add up to more than 100% of the 112 records — that is expected and not an error.
Shares are the percentage of the 112 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Irrigation Scheduling with Soil Moisture Sensing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.
Go deeper on Irrigation Scheduling with Soil Moisture Sensing with Eureka
This page is one run against one query. Ask Eureka your own question about irrigation scheduling with soil moisture sensing and every answer comes back with the patent numbers behind it.
Try EurekaKey Patents
The records other filings cite most
Representative record
US7810515B2 — Smart water timer
MELNOR, INC.
A smart water timer which includes a water timer, a receiving unit connected to the water timer, and a moisture sensing unit which is in wireless communication with the receiving unit. The smart water timer can sense when the moisture level in the soil is too moist, based on a user setting, and turn off a water supply to a sprinkler as a result. A soil moisture sensing unit is placed in the soil in the area to be watered and wirelessly transmits a data signal to the receiver, which is connected to the water timer, indicating whether or not the water timer should be permitted to open a water valve.Filed by Melnor, Inc. and published 2010-10-12 — one of the most-cited records in this dataset, cited 36 times.
Most-cited records in scope
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20100032493A1 | Precision variable rate irrigation system | 98 |
| 2 | US20040145379A1 | Soil matric potential and salinity measurement apparatus and method of use | 85 |
| 3 | US20130332115A1 | Methods and apparatus for electromagnetic signal polarimetry sensing | 69 |
| 4 | US7042234B2 | Soil matric potential and salinity measurement apparatus and method of use | 65 |
| 5 | US7810515B2 | Smart water timer | 36 |
| 6 | US7068051B2 | Permittivity monitor uses ultra wide band transmission | 33 |
| 7 | US20080255708A1 | Smart water timer | 29 |
| 8 | US9037414B1 | Methods and apparatus for electromagnetic signal polarimetry sensing | 27 |
| 9 | US20170269016A1 | Systems and methods for an improved soil moisture sensor | 20 |
| 10 | US20190208698A1 | System and method for on-the-go measurements of temperature and dielectric properties of soil and other semi-… | 19 |
Citation counts are drawn from within this searched corpus and favour older filings that have had more time to accumulate citations — read them as a signal of influence on the field, not as a measure of current commercial importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Irrigation Scheduling with Soil Moisture Sensing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Run it yourself
Put your own technology through the same analysis
Where to run it
For builders
MCP server & REST API
When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Insights
What the numbers mean for a filing decision
Three patterns stand out once the records are grouped by assignee, class and geography.
Concentration
47.3%
of 112 records held by top 5
The field is led, not fragmented
The top five assignees combined hold 53 of the 112 records in scope, and the single leader alone accounts for 13. A newcomer is not entering an open field — it is entering one where a handful of filers already occupy the sensing-and-control core.
Top 5 combined = 47.3% of 112 records
Hardware vs. software
49.1% vs 14.3%
A01G share vs G06N share
Sensing hardware is claimed far more densely than AI logic
A01G (horticulture) and G01N (material analysis) between them touch roughly half of all records each, while G06N (AI-based computing) sits at 14.3%. The scheduling-decision layer built on top of sensor data is comparatively open.
A01G 49.1%, G01N 43.8%, G06N 14.3% of 112 records
Geography
35 vs 29
US vs India filings
India is now a primary filing venue, not a secondary one
United States filings lead at 35, but India follows closely at 29 — ahead of WIPO's 11 PCT filings and Europe's 10. Any freedom-to-operate check that skips Indian filings is checking less than a third of the relevant offices.
Receiving offices: US 35, India 29, WIPO 11, EPO 10, Australia 7, Canada 4
Eureka AI Agent
Looking for what nobody has claimed yet?
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to irrigation scheduling with soil moisture sensing, with the prior art for and against each one.
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Irrigation Scheduling with Soil Moisture Sensing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players
Who holds the claim space, and where it thins out
The ranking below covers 100 companies — the full set the data endpoint returns, not a top-50 or top-100 cut. Filing is concentrated at the very top and long-tailed beneath it.
Leader
13 records
of 112 in scope
A single filer sets the pace
The ranked leader holds 13 of the 112 records in scope, well ahead of the fifth-place holder at 7 and the tenth-place holder at 3 — a steep early drop-off typical of a field still consolidating around a few core sensing-and-control approaches.
Leader 13, 5th place 7, 10th place 3
Top 10
67.0%
of 112 records
Two-thirds of filings sit with ten assignees
The top ten combined hold 75 of 112 records, or 67.0% of everything in scope. Beyond that line the ranking stretches into single-filing entrants, which is where freedom-to-operate searches often find the most room to design around.
Top 10 combined = 67.0% of 112 records
Co-filing
10 pairs
co-assignee pairs identified
Collaboration is limited and mostly internal
Only 10 co-assignee pairs appear across the dataset, and the strongest recurring pairs link a single corporate assignee with named individual inventors rather than cross-company joint filings. Formal cross-company collaboration on irrigation-sensing IP is still rare.
10 co-assignee pairs identified
Recent-year filing momentum
| Assignee | Recent year | YoY |
|---|---|---|
| CropX Technologies | 0 | — |
| GROGURU | 0 | — |
| Melnor, Inc. | 0 | — |
| CORBET SCIENTIFIC LLC | 0 | -100% |
| Telefonaktiebolaget LM Ericsson (publ) | 0 | — |
| SENTEK PTY LTD | 0 | — |
| Transcend Engineering & Technology LLC | 0 | -100% |
| Texas A&M University | 0 | — |
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Irrigation Scheduling with Soil Moisture Sensing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next
Where to take this next
The dataset points to where claim space is thick and where it is thin. Turning that into a filing or freedom-to-operate decision means going deeper on specific claims and specific competitors.
Map the white space to a first claim
The under-claimed branches above are starting points, not finished claims. Drafting a first independent claim against the actual prior art in each branch shows whether the gap is real or just thinly documented.
Explore white space in EurekaTrack the leading assignees' recent activity
Concentration at the top means watching a short list of filers matters more than watching the whole field. Recent-year filings and continuations from the leader and the next few ranked assignees are the earliest signal of where the core territory is expanding.
Monitor assignees in EurekaSource: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Irrigation Scheduling with Soil Moisture Sensing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ
Frequently asked questions
This dataset identifies 112 published records matching irrigation scheduling or soil moisture sensing claims combined with terms like capacitance probe, tensiometer reading, sensor placement or evapotranspiration estimate, covering 2015 through the 2026 data cut-off. The most recent year is understated because patent publication typically lags filing by around 18 months, so 2026 figures will continue to rise as more filings publish. Treat 112 as the current scope of this specific search, not a definitive count of every related filing worldwide.
Filing is concentrated: the single leading assignee holds 13 of the 112 records in scope, and the top five combined hold 53 records, or 47.3% of the dataset. The top ten combined reach 67.0% of all records. Beyond the top ten, the ranking stretches into a long tail of assignees with only a handful of filings each, which is typical of a field with a few dominant players and many smaller entrants.
A01G (horticulture and forestry) and G01N (material analysis and testing) are the two densest IPC subclasses, covering 49.1% and 43.8% of the 112 records respectively — these cover the physical soil-sensing hardware and measurement methods. G06Q, G06N and H04W, which cover business logic, AI models and wireless networking, each sit between 14% and 16%, suggesting the decision and connectivity layer built on top of sensor readings is comparatively less crowded.
The United States leads with 35 filings routed through its office, followed closely by India at 29. WIPO's PCT route accounts for 11 filings, Europe's EPO for 10, with Australia at 7 and Canada at 4. The closeness between the US and India totals means a freedom-to-operate review focused only on the US would miss a substantial share of the relevant filing activity.
The IPC composition shows sensing hardware and material-analysis claims are dense, while AI-based scheduling logic, wireless sensor-to-controller protocols, automated soil-calibration routines and multi-sensor placement optimisation carry comparatively lower claim density. These are not guaranteed gaps — they need a prior-art check against the specific claim language in scope — but they are the branches where the current filing pattern is thinnest relative to the sensing-and-valve-control core.
Answers are grounded in the same dataset. Derived from a Patsnap search on Irrigation Scheduling with Soil Moisture Sensing covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Research Irrigation Scheduling with Soil Moisture Sensing in depth with Eureka
Go past this page: query the whole irrigation scheduling with soil moisture sensing corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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.