Farm Management System Integration Patent Landscape 2026
Farm management system integration is an early-stage, India-dominated field in active growth, with filings rising sharply since 2022 and the corpus led by academic institutions and individual inventors rather than established agri-tech corporations. The landscape is fragmented — no single applicant holds more than 3 patent records — suggesting the competitive structure remains open to new entrants with differentiated technical approaches.
Fragmented field led by Indian academics and small innovators
Milestone Tech holds the top position with 3 patent records, followed by a cluster of institutions — Saveetha Engineering College, Chandigarh University, and Thapar Institute of Engineering and Technology — each with 2 patent records. The ranking reveals no dominant industrial incumbent.
The top five filers account for 11% of the hundred largest filers’ combined total, confirming an unusually low concentration. There is no significant tier gap between the leader and the second rank, and activity is spread across numerous individual inventors and smaller colleges.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Milestone Tech | 3 | |
| 2 | Saveetha Engineering College | 2 | |
| 3 | Chandigarh University | 2 | |
| 4 | Vaibhav Laxman Dhasal | 2 | |
| 5 | THAPAR INST OF ENG & TECH | 2 | |
| 6 | G Ashwin Prabhu | 2 | |
| 7 | Dr. S. Narayanan | 1 | |
| 8 | Reddy Srinivas T | 1 | |
| 9 | Dr. B.C. Brightlin | 1 | |
| 10 | Dr. S. Saravanakumar | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Dr. D.Y. Patil Institute of Technology, Pimpri, Pune | 1 | |
| 12 | Vanishree K | 1 | |
| 13 | Dr. C. Alwin Vinifred | 1 | |
| 14 | Anil D | 1 | |
| 15 | Ms. Bency Varghese A | 1 | |
| 16 | Dr. Chiranjib Chakravartty | 1 | |
| 17 | Dr. Debashis Ghosh | 1 | |
| 18 | Dr. Manojit Bhattacharya | 1 | |
| 19 | KIET Group of Institutions | 1 | |
| 20 | Malla Reddy Engineering College | 1 |
The leaders’ positions are primarily academic or early-commercial, indicating that the technology has not yet been absorbed into the product portfolios of large agri-tech or enterprise-software corporations. This creates meaningful room for strategic portfolio building.
The most recent 18–24 months of filing data are under-counted due to publication lag; apparent near-term counts should be read as floor estimates. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Rapid volume growth anchored in business-data-processing and AI branches
Two signals define the current structure: a steep filing ramp beginning in 2022 and a technology mix that blends agricultural operations with AI, digital transmission, and image-recognition branches.
Annual filing trend
Filings were negligible before 2022 and have risen sharply since, with 2025 showing the highest recorded annual count. The 2026 figure should be treated as a partial-year floor given publication lag. The overall multi-year growth rate stands at 1,400%, consistent with a field moving from experimental to structured R&D activity.
↗ Hover for values · click a bar to ask EurekaTechnology composition
The dominant branch is G06Q (business, commerce and admin data processing), followed closely by A01B (soil working in agriculture) and G06N (computing based on AI models). The co-presence of agricultural operations classes and digital/AI classes confirms that integration — connecting physical farm processes with data-driven decision layers — is the defining technical theme.
↗ 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.
System and methods for real time linkage between h…
Systems and methods are provided for directly linking a harvest environment using precision farming techniques to the marketplace. It is a feature of this invention that properties of crops are evaluated "on-the-move," during the harvest thereof, and are made known to users in the harvest environment to enable the real-time transaction for the sale of these… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | System and methods for real time linkage between h… | 173 |
| 2 | Smart farm management system based on online integ… | 31 |
| 3 | Systems and methods for real time linkage between … | 5 |
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.
What the structure means for R&D investment decisions
The combination of rapid growth, low concentration, and academic-led activity points to a field where early movers with defensible technical depth can establish durable positions.
Growth stage: annual filings rising, corpus still small
The lifecycle is classified as Growth, with annual filing volume rising and the multi-year window recording 1,400% growth. The corpus of 40 patent families remains small enough that a focused filing program over the next two to three years could meaningfully shift competitive ranking. Publication lag means the true 2025–2026 volume is higher than currently visible.
Growth stageNo dominant incumbent; top five hold only 11% share among leading filers
The top five filers account for 11% of the hundred largest filers’ combined total — exceptionally low for a technology field. The leader, Milestone Tech, holds 3 patent records; five other applicants hold 2 each. This flat structure means that a new entrant filing a focused cluster of patents could enter the top tier within a single application cycle.
Low concentrationLimited cross-institution co-filing detected
The evidence shows one co-filing relationship: Joo Jong-moon collaborating with Next A Co. Ltd and Donkey Doctor Co. Ltd, each with 1 co-filed record. Cross-institutional collaboration is otherwise sparse in this corpus. This suggests that most applicants are working independently, and that forming a research consortium or industry-academia partnership would be a differentiating move.
Sparse collaborationIndia accounts for nearly all activity; international coverage is minimal
India is the lead jurisdiction with 39 patent records, followed by the United States with 2, and Australia, South Korea, and WIPO (PCT) with 1 each. The near-exclusive domestic focus of Indian filers means that the international patent landscape for farm management system integration is largely unclaimed. Applicants seeking multi-jurisdiction coverage face low incumbent resistance outside India.
India-dominantGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
| Applicant | Collaborator | Co-filings |
|---|---|---|
| 주종문 | NEXT A CO LTD | 1 |
| 주종문 | DONKEY DOCTOR CO LTD | 1 |
Co-filing pairs, ranked by the number of jointly-filed patent families.
Milestone Tech leads on agricultural operations; academic entrants focus on AI and soil management
The top two ranked filers differ in technical emphasis: Milestone Tech concentrates on physical farm operations, while the leading academic institutions and individual inventors lean toward AI, horticulture, and precision soil management.
Milestone Tech
Milestone Tech leads with 3 patent records and focuses on soil working in agriculture (A01B 79) and harvesting and mowing (A01D 41, A01D 91). This operational emphasis — physical agricultural processes rather than data analytics — distinguishes it from the academic filers. No momentum data is available for Milestone Tech in the evidence, so trajectory should be tracked in the next filing cycle.
patent records: 3Thapar Institute of Engineering and Technology
Thapar Institute of Engineering and Technology holds 2 patent records with a new-entrant trajectory, combining soil working (A01B 79), horticulture and forestry (A01G 25), and material analysis and testing (G01N 33). The breadth across physical and analytical branches positions it as a technically diverse academic challenger. As a new entrant, its prior-period baseline was zero, making the current count a full incremental gain.
patent records: 2| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| THAPAR INST OF ENG & TECH | 2 | ▲ new entrant |
| Saveetha Engineering College | 1 | ▲ new entrant |
| G Ashwin Prabhu | 1 | ▲ new entrant |
| Chandigarh University | 1 | ▲ new entrant |
Under-served technical branches adjacent to the dominant IPC classes
Several IPC branches appear in the corpus at low counts relative to the dominant G06Q and A01B clusters. These represent areas where filing activity exists but has not yet consolidated, and where technical adjacency to the core integration theme is evident.
H04L · Digital information transmission
With 10 patent records and a 6% share among the identified branches, digital information transmission is the most active of the under-served adjacent areas. Secure, low-latency data links between field sensors, edge devices, and farm management platforms are a prerequisite for integration. The current filing count is low relative to the functional importance of this layer, and applicants with networking or protocol expertise could claim defensible ground with targeted filings.
Search this in Eureka →G06V · Image and video recognition
Image and video recognition (9 patent records, 5% share) is technically adjacent to crop monitoring, pest detection, and yield estimation — all high-value functions in farm management integration. The sparse count relative to the AI branch (G06N, 20 records) suggests that computer vision applications have not yet been systematically claimed, despite being a natural extension of AI-driven farm management. Entrants with computer vision expertise face limited incumbent density in this branch.
Search this in Eureka →How leading applicants differ by IPC technology route
Route coverage across the main technology branches in the current evidence set.
| Player | G06Q 50 · Business, commerce & admin data processing | A01B 79 · Soil working in agriculture | G06N 20 · Computing based on AI models | A01G 25 · Horticulture & forestry | G06N 3 · Computing based on AI models |
|---|---|---|---|---|---|
| Chandigarh University | Absent | Strong · 2 | Strong · 2 | Moderate · 1 | Absent |
| Thapar Institute of Engineering and Technology | Absent | Strong · 2 | Absent | Strong · 2 | Absent |
| Anil D | Strong · 1 | Strong · 1 | Absent | Strong · 1 | Absent |
| Anuprakash K | Strong · 1 | Absent | Strong · 1 | Absent | Strong · 1 |
| Anurag University | Strong · 1 | Strong · 1 | Absent | Strong · 1 | Absent |
Frequently asked questions
The evidence covers 40 patent families in scope. This is a small corpus, indicating the field is still in an early growth phase rather than a mature, crowded space.
Milestone Tech leads with 3 patent records, followed by Saveetha Engineering College, Chandigarh University, Vaibhav Laxman Dhasal (Director), Thapar Institute of Engineering and Technology, and G Ashwin Prabhu, each with 2 patent records.
India dominates with 39 patent records, accounting for nearly all corpus activity. The United States has 2 records, and Australia, South Korea, and WIPO (PCT) have 1 each. International coverage is minimal.
Filings were negligible before 2022. Activity has risen sharply since then, with 2025 recording the highest annual count in the evidence. The multi-year growth rate stands at 1,400%. The most recent months are under-counted due to publication lag, so current figures are floor estimates.
The leading branches are G06Q (business, commerce and admin data processing) with 31 records, A01B (soil working in agriculture) with 26, G06N (computing based on AI models) with 20, and A01G (horticulture and forestry) with 19. This mix reflects the integration of digital management layers with physical agricultural operations.
The evidence identifies H04L (digital information transmission, 10 records), G06V (image and video recognition, 9 records), G01N (material analysis and testing, 8 records), A01C (planting and sowing, 5 records), and H04W (wireless communication networks, 4 records) as adjacent branches with lower filing density relative to the dominant IPC classes. These are observations of relative sparsity, not confirmed commercial opportunities.
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