Market Context — Why This Technology, Why Now

The global shift towards precision agriculture and sustainable farming practices is accelerating, driven by environmental concerns and the need to maximize yields with fewer resources. Farmers worldwide are adopting autonomous machinery to combat rising labor costs and improve operational efficiency. This technology is critical for realizing the full potential of these investments by ensuring optimal resource utilization and reducing the environmental footprint of large-scale farming operations.

Key Competitive Advantages
01

Reduces unnecessary travel by up to 20%, optimizing fuel and operational time.

02

Optimizes work plans by flexibly adapting to complex field shapes.

03

Reduces operator manual intervention, enhancing overall productivity.

Market Opportunity
Agricultural Machinery Manufacturers
$200B globally (AI est.)
Integrating this technology into existing autonomous agricultural machinery could differentiate products, enhance value, and strengthen market competitiveness, driving high demand.
Global agricultural equipment OEMs Specialized autonomous vehicle developers Farm machinery software integrators
Smart Agriculture Solution Providers
$350M domestically (AI est.)
Integrating this technology into farm management systems and operational control services could enable more advanced automation and efficient service delivery, attracting new customers.
Agricultural software platform developers IoT and AI solution providers for farming Drone and robotics service companies
Large-Scale Farms and Cooperatives
$450M domestically (AI est.)
These entities require efficient management of multiple or complex-shaped fields. This technology's improvements in operational efficiency and cost reduction could directly contribute to business improvement.
Large corporate farming operations Agricultural cooperatives and associations Agribusiness consulting firms
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent covers a device, method, and program for setting travel paths for field work vehicles, protected by five claims. It was granted without office actions after comparison with five prior art documents, indicating strong novelty and inventiveness. This provides a robust and stable foundation for future enforcement and business operations.

Competitive White Space

This patent primarily covers optimized exit path planning. White space exists in real-time dynamic obstacle avoidance, multi-vehicle swarm coordination, or integration with advanced sensor data for in-field adaptive path adjustments.

Economic Impact
~$15K/year estimated cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming a 10% reduction in unnecessary travel distance for field work vehicles, a farm with annual fuel costs of ~$35K (AI est.) could see a ~$3.5K (AI est.) reduction per year. Additionally, a 5% reduction in exit operation time could save ~$4K (AI est.) from operator labor costs (~$80K annually, AI est.). The combined direct cost reduction effect is ~$7.5K (AI est.) annually. Considering improved machine utilization and reduced opportunity loss due to increased operational efficiency, an economic impact of over ~$15K (AI est.) annually is possible.

Speed to Market
6× faster than in-house development
This technology was filed by a national research and development agency, indicating that its fundamental technologies and algorithms are likely well-established. It is presumed that proof-of-concept (PoC) and prototype development stages are complete, offering licensees a significant time reduction compared to developing from scratch. Assuming integration as a software module into existing autonomous agricultural machinery systems, rapid market deployment is feasible.
Competitive Positioning

X: Operational Flexibility
Y: Operational Efficiency

Business Models & Applications
📝 Software Licensing
License the path planning program to agricultural machinery manufacturers, enabling integration into their products and generating royalty revenue.
🤝 Joint Development & Customization
Collaborate with agricultural corporations or machinery manufacturers to develop customized solutions based on this technology, enhancing their competitive advantage.
☁️ SaaS-based Path Optimization Service
Offer a cloud-based Software as a Service (SaaS) model where users register field information and work plans to receive optimized autonomous travel paths.
Adjacent Application Opportunities
🚜 Construction & Civil Engineering
Optimized Pathing for Autonomous Construction Vehicles
Apply this technology to path planning for construction vehicles performing tasks like grading or snow removal. Automatically generate efficient paths that minimize wasted movement, potentially reducing fuel consumption by 15% and shortening project timelines.
📦 Logistics & Warehousing
Efficiency Boost for Automated Guided Vehicles (AGVs)
Adapt for path planning of AGVs in logistics warehouses. Generate optimal, shortest paths to pick-up/delivery points in real-time, navigating complex layouts and temporary obstacles, maximizing operational efficiency by 20%.
🧹 Cleaning & Maintenance
Optimized Patrol Routes for Cleaning Robots
Utilize for path planning of cleaning robots in large commercial facilities or office buildings. Generate efficient patrol routes based on floor maps, considering cleaning areas and exit points, ensuring smooth return to charging stations and reducing cleaning time by 10%.
Integration Roadmap — Estimated 16-Month Deployment
Phase 1: Proof of Concept & Requirements Definition
Duration: 3 months
Verify the core algorithm's compatibility with existing autonomous systems and define functional specifications tailored to the licensee's specific field environment and operational requirements.
Phase 2: Prototype Development & Functional Verification
Duration: 8 months
Develop the technology's software module based on defined requirements. Conduct teaching runs, path generation, and autonomous driving verification in actual fields using a prototype integrated into existing farm machinery.
Phase 3: Operational Deployment & Optimization
Duration: 5 months
Optimize the system based on verification results and commence operational deployment. Collect post-implementation feedback for continuous improvement, ensuring further efficiency and stable operation of field work.
Technical Feasibility
This technology processes field shape recognition via teaching runs and subsequent path setting through software. It can easily integrate with existing positioning and attitude control hardware, such as GPS/GNSS receivers and IMUs, found in autonomous agricultural machinery. The patent claims specify functions as software modules like a 'condition specification unit' and a 'travel path setting unit,' suggesting implementation could be relatively low-cost and rapid by updating existing control software.
Success Scenario
Implementing this technology could reduce unnecessary turns and manual intervention during autonomous field vehicle exits, potentially improving operational efficiency by 15%. This could reduce annual fuel costs by approximately 10% and significantly alleviate operator workload. Consequently, it is estimated that larger fields could be managed with fewer personnel, maximizing productivity and enabling sustainable agricultural management.
Patent Record
APPLICATION NO.
特願2021-054017
REGISTRATION NO.
7416437
FILING DATE
2021/03/26
GRANT DATE
2024/01/09
EXPIRATION DATE
2041/03/26
PATENT HOLDER
国立研究開発法人農業・食品産業技術総合研究機構
Examination History
2023年05月31日
出願審査請求書
2023年12月12日
特許査定