Precision Ag Outdoor Durability Patent Snapshot 2026
The patent corpus for precision agriculture outdoor durability is extremely nascent, comprising only 2 patent families, all filed in India in 2025, with no established dominant assignee. Activity is so sparse that the field presents essentially an open evidence snapshot for any organization seeking to establish early IP positions.
Highly fragmented field with no dominant incumbent
The evidence snapshot contains just 2 patent families in scope, distributed across eight individual and institutional applicants, each holding a single patent record. MR NEELESH GOUR leads the ranking with 1 patent record, tied with every other applicant.
The top five filers account for 63% of the ranked applicants visible in this query’ combined total, but given the extremely small absolute corpus, this figure reflects the near-total atomization of the field rather than any meaningful concentration by a single player.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | MR NEELESH GOUR | 1 | |
| 2 | MR ALESH SHARMA | 1 | |
| 3 | Lovely Professional University | 1 | |
| 4 | MR ATUL SHRIVASTAVA | 1 | |
| 5 | Lakshmi Narain College of Technology Excellence Bhopal | 1 | |
| 6 | DR SAKET JAIN | 1 | |
| 7 | MS PAYAL GOVINDANI | 1 | |
| 8 | MR VIJAY SHANKAR MISHRA | 1 |
No applicant has yet established a defensible cluster of related filings, which means there is no entrenched IP blocker and first-mover advantage remains available to new entrants willing to file systematically.
Because only 2 patent families are in scope and all activity appears in a single year, publication lag may account for some under-counting; the true corpus size should be validated as additional 2025 publications clear examination queues.
All filing activity concentrated in 2025; technology mix spans soil, AI, and imaging
The annual trend and IPC composition together reveal a field that did not exist in patent literature before 2025 and is already mixing agricultural, AI, and sensing classes from its first filings.
Annual filing trend
Zero filings appear from 2017 through 2024; both recorded families were filed in 2025. The 2026 count is zero, which is expected given publication lag for very recent applications — it does not indicate retreat.
↗ Hover for values · click a bar to ask EurekaTechnology composition
A01B (soil working in agriculture) appears in both patent records, making it the anchor class. A01G (horticulture and forestry), G01N (material analysis and testing), G06N (AI models), G06Q (business data processing), G06V (image and video recognition), and G16H (healthcare informatics) each appear once, indicating inventors are combining field-sensing hardware with machine-learning and imaging software from the outset.
↗ 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.
Method for pre-irrigation pathogen risk detection …
The invention provides a method (100) for managing irrigation through preirrigation pathogen risk detection and automated decision-making using a solarpowered portable unit. The method (100) begins by continuously monitoring soil moisture, temperature, humidity, and leaf wetness through integrated sensors. Soil and water samples are analyzed for pathogen… (excerpt from the patent abstract)
Open this patent in Eureka →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.
Assignee snapshot from the current evidence set
The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.
MR NEELESH GOUR
Holds 1 patent record covering A01B 79 (soil working in agriculture), G06N 3 (AI models), and G06V 10 (image and video recognition), indicating a software-augmented crop monitoring approach. No momentum data is available given the single filing, but the multi-class scope suggests an integrated sensor-AI system rather than a narrow hardware claim.
patent records: 1Lovely Professional University
Holds 1 patent record with identical class coverage to MR NEELESH GOUR — A01B 79, G06N 3, and G06V 10 — suggesting the university’s submission addresses a comparable AI-vision-agriculture stack. As an academic institution it may be more open to licensing or collaboration than an individual inventor.
patent records: 1Frequently asked questions
The evidence set contains 2 patent families in scope, both filed in India in 2025. This is an extremely nascent corpus and should be treated as a lower-bound estimate given publication lag on very recent applications.
Eight applicants each hold 1 patent record. MR NEELESH GOUR ranks first by record count, followed by MR ALESH SHARMA, Lovely Professional University, MR ATUL SHRIVASTAVA, Lakshmi Narain College of Technology Excellence Bhopal, DR SAKET JAIN, MS PAYAL GOVINDANI, and MR VIJAY SHANKAR MISHRA.
All 2 patent records are filed exclusively in India. No filings have been identified in the United States, Europe, China, or via the PCT route, leaving global coverage entirely open.
A01B (soil working in agriculture) appears in both patent records. A01G, G01N, G06N, G06Q, G06V, and G16H each appear once, showing a combination of agricultural hardware and AI-driven software approaches from the first filings.
No co-applicant relationships are recorded in the evidence. All current applicants appear to have filed independently, which is consistent with a field at inception and leaves consortium or industry-academia partnerships as a potential differentiator.
A formal life-cycle stage cannot be calculated from the current evidence because the corpus consists of only 2 patent families, all appearing in a single year. The pattern is characteristic of an embryonic field with no prior-art density or citation network yet established.
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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.