In-Field Soil/Crop Sensing Patent Snapshot 2026
This is a nascent, highly fragmented corpus concentrated entirely in India, with no single applicant holding more than one patent record and the top five filers collectively accounting for just seven percent of the hundred largest filers’ combined total. Activity emerged sharply only in 2024–2025, making this an early-stage space with limited prior art and wide room for differentiated positioning.
A nascent, atomised field dominated by individual Indian inventors and institutions
The corpus contains 21 patent families, all filed in India, and the applicant ranking shows extreme fragmentation: every ranked filer holds exactly one patent record, with DR VARSHA DANGE at the top of the list alongside nineteen peers at the same level.
The top five filers’ share of the ranked applicants visible in this query’ combined total is just seven percent — the lowest concentration level consistent with a genuinely pre-competitive field where no incumbent has yet established a portfolio moat.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Dr. Varsha Dange | 1 | |
| 2 | Dr. S. Narayanan | 1 | |
| 3 | Dr. Lav Kumar | 1 | |
| 4 | P. Selvaraju | 1 | |
| 5 | Dr. Deepak K B | 1 | |
| 6 | Dr. Ramakant Narayan Kaspate | 1 | |
| 7 | Dr. C. Venkata Subbaiah | 1 | |
| 8 | Madhusri S | 1 | |
| 9 | Archana Jenis M R | 1 | |
| 10 | Dr. Latha Tamilselvan | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Madhankumar C | 1 | |
| 12 | Bhavasudhan B | 1 | |
| 13 | KIET Group of Institutions | 1 | |
| 14 | Kumar Sasi D | 1 | |
| 15 | Ajay Kumar Garg Engineering College | 1 | |
| 16 | Dr. N. Kumareshan | 1 | |
| 17 | Prabha B | 1 | |
| 18 | Anthony Savio Herminio da Piedade Fernandes | 1 | |
| 19 | Elakkiya M | 1 | |
| 20 | Dr. Niranjanamurthy M | 1 |
The absence of a visible assignee means there is no clear leader setting technical direction; individual academic inventors and engineering colleges make up the bulk of filers, suggesting that commercialisation pathways remain largely unexplored.
Filings from 2025 and 2026 are subject to publication lag and likely under-represent actual activity in those years; the apparent concentration of records in that window should be read as a lower bound. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Activity surged from 2024 onward; soil-working and data-processing branches dominate the mix
The filing trend and technology composition together describe a field that was dormant through 2023 and then accelerated sharply, with a technology mix that blends physical agronomic classes with AI and business-data-processing subclasses.
Annual filing trend
Zero filings were recorded from 2017 through 2023; three records appeared in 2024, thirteen in 2025, and five in 2026 to date. Because 2025 and 2026 filings are still moving through publication pipelines, the true volume for those years is almost certainly higher than shown — the apparent plateau in 2026 should not be read as a slowdown.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Soil working in agriculture (A01B) and business/administrative data processing (G06Q) lead the branch mix, followed closely by material analysis and testing (G01N) and horticulture and forestry (A01G). AI-model computing (G06N) ranks fifth, reflecting the prevalence of machine-learning overlays on sensor data. Lower-count branches — including planting and sowing (A01C), image/video recognition (G06V), drones (B64U), and wireless networks (H04W) — represent adjacent areas with sparse prior art.
↗ 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.
Agricultural crop monitoring rover
A ground-based agricultural crop monitoring rover (100) is designed to efficiently assess crop health while navigating uneven farmland. Built on a robust rover frame (102) with a rocker-bogie suspension system (104) and multiple wheels (104A), ensuring smooth traversal across rough terrain. A cuboidal sensor housing (106) mounted on the frame (102) supports… (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.
Vellore Institute of Technology Chennai
Vellore Institute of Technology Chennai holds one patent record and concentrates its filings across soil working in agriculture (A01B 49 and A01B 79) and material analysis and testing (G01N 1), indicating a focus on integrated soil characterisation systems. No prior-period filings are recorded, so trajectory cannot be assessed beyond a single data point.
patent records: 1Vaibhav Laxman Dhasal
Vaibhav Laxman Dhasal holds one patent record spanning soil working (A01B 79), material analysis (G01N 33), and control of non-electric variables (G05D 1) — a combination that suggests a sensor-to-actuator feedback architecture. The applicant momentum data identifies two new entrants, Tanaya Nerlekar and Shivanshu Dwivedi, each with one recent record focused on horticulture and material analysis, signalling fresh individual-inventor activity.
patent records: 1Frequently asked questions
The corpus in scope contains 21 patent families, all filed in India. This is a small corpus consistent with a nascent technology area where systematic IP activity only began in 2024.
No single organisation leads by volume. Every applicant in the top twenty holds exactly one patent record. DR VARSHA DANGE is listed first in the ranking, alongside nineteen other filers each holding one record.
Filing activity was zero from 2017 through 2023. Three records appeared in 2024, followed by thirteen in 2025 and five in 2026 to date. The 2025 and 2026 figures are subject to publication lag and likely undercount actual activity.
Soil working in agriculture (A01B) and business/administrative data processing (G06Q) are the most represented branches, followed by material analysis and testing (G01N), horticulture and forestry (A01G), and AI-model computing (G06N).
Based on the available evidence, all 21 patent families are filed exclusively in India. No records appear in other jurisdictions, meaning the IP landscape for in-field soil/crop sensing is open in the United States, Europe, China, Brazil, and other major agricultural markets.
Image and video recognition (G06V) and control of non-electric variables (G05D) each have low record counts at four to five percent of the ranked applicants visible in this query’ combined total, despite clear technical relevance to crop monitoring and closed-loop irrigation control. Planting and sowing (A01C), digital information transmission (H04L), and robotics (B25J) are also sparsely filed.
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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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