Precision Livestock Monitoring Patent Snapshot 2026
The precision livestock monitoring patent space is highly fragmented with 17 families on record, dominated by Indian academic and individual filers with no single applicant holding more than two patent records. The field is still expanding on a multi-year basis, though annual volume has eased from its 2022 peak and recent years remain undercounted due to publication lag.
A fragmented, academia-led field with GLA University Mathura at the front
GLA University Mathura leads the applicant ranking with 2 patent records, followed by a long tail of individual inventors and engineering colleges each holding a single record — a structure typical of an early-stage, institutionally dispersed field.
The top five filers together account for 15% of the combined output of the ranked applicants visible in this query, confirming that no visible commercial player has yet consolidated a meaningful portfolio position. The gap between the leader and all other applicants is minimal.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | GLA University Mathura | 2 | |
| 2 | Nanjing Forestry University | 1 | |
| 3 | Dr. Samanthaka Mani Kuchibhatla | 1 | |
| 4 | Nithya Roopa Sadhasivam | 1 | |
| 5 | Evance Leethial R. | 1 | |
| 6 | Sanjay S. | 1 | |
| 7 | N. Rajeswaran | 1 | |
| 8 | Dr. F. R. Shiny Malar | 1 | |
| 9 | S. Shankar Narayan | 1 | |
| 10 | Y. Siva Prasad | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Dr. V. Srilakshmi | 1 | |
| 12 | Dr. G. Sai Chaitanya Kumar | 1 | |
| 13 | G. Pratyusha | 1 | |
| 14 | V. Sruthi | 1 | |
| 15 | V. Lakshmi Chetana | 1 | |
| 16 | B. V. N. Praveena | 1 | |
| 17 | A. Kalyan Kumar | 1 | |
| 18 | D. Varun Prasad | 1 | |
| 19 | Saveetha Engineering College | 1 | |
| 20 | D. Prasad | 1 |
The absence of large corporate assignees suggests that the monitoring technology remains largely exploratory, giving commercial entrants with focused IP strategies an opportunity to establish differentiated positions before the field matures.
The most recent 18–24 months of filing data are subject to publication lag and likely understate actual activity; trend reads for 2024–2026 should be treated as preliminary. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Multi-year growth with a broad AI and sensing technology mix
Annual filing volume grew substantially on a multi-year basis but has been uneven year-to-year; the technology composition reveals that animal husbandry classification anchors every filing while AI and diagnostic branches add secondary depth.
Annual filing trend
Activity was negligible before 2021, picked up in 2021–2022, then accelerated sharply in 2025. The 2023–2024 gap and the partial 2025–2026 counts should be read with caution given typical 18–24 month publication lag; the 100% recent-window growth confirms the multi-year upward direction.
↗ Hover for values · click a bar to ask EurekaTechnology composition
A01K (animal husbandry and fishing) appears across all 17 records, making it the defining class. G06N (AI/computing models) and A61B (diagnosis and surgery) are the next most represented branches, reflecting a strong tendency to combine sensor-based health diagnostics with machine-learning inference. Lower-density branches such as G06Q, G06F, G05D, and image-recognition classes signal adjacent application areas that remain underdeveloped.
↗ 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.
Herdsense:mlops-driven livestock monitoring system
Heardsense is an advanced livestock monitoring system that leverages computer vision technology to automate the observation of cattle behavior. Using YOLOv5 object detection and CCTV surveillance, it identifies and classifies key activities such as grazing, sleeping, standing, and lying down in real time. This eliminates the need for manual monitoring and… (excerpt from the patent abstract)
Open this patent in Eureka →| # | Patent | Citations |
|---|---|---|
| 1 | 一种养殖牲畜姿态识别方法、装置、系统及介质 | 1 |
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.
GLA University Mathura
GLA University Mathura holds 2 patent records — the largest single-applicant count in this corpus — focused on A01K animal husbandry monitoring, animal feed (A23K), and biosignal diagnostics (A61B). No applicant momentum data is available for trajectory quantification, but its lead over the single-record field makes it the current reference point for academic activity in India.
2 patent recordsNanjing Forestry University
Nanjing Forestry University holds 1 patent record with a technology mix spanning A01K animal husbandry, G06F digital data processing, and G06N AI models — a more computationally oriented profile than the Indian leader. As one of only two Chinese filers in the corpus, it represents the earliest signal of cross-border academic interest in this niche.
1 patent recordFrequently asked questions
The evidence covers 17 patent families in scope. This is a small, nascent corpus dominated by Indian academic and individual filers, with two Chinese entities also represented.
GLA University Mathura leads with 2 patent records — the highest count of any single applicant — followed by a large group of institutions and individuals each holding 1 record.
The field is classified as Growth stage: recent three-year filing volume is 100% above the prior three-year window. Annual volume has eased from its 2022 peak, and the most recent years carry publication-lag uncertainty.
India accounts for 15 of the jurisdiction-level patent records and China for 2. No other jurisdictions appear in the corpus, leaving most global markets with minimal existing IP coverage in this niche.
A01K (animal husbandry and fishing) covers all 17 records. G06N (AI and computing models) appears in 8, A61B (diagnosis and surgery) in 6, and G06Q (business and commerce data processing) in 5.
No co-applicant pairs are recorded in the current evidence. The field appears to be driven by independent academic and individual inventors with no documented consortium or cross-institution collaboration.
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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.
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