Market Context — Why This Technology, Why Now

The global push for smart agriculture and sustainable land management is accelerating, driven by demographic shifts, climate change impacts, and rising food security concerns. Simultaneously, infrastructure projects and environmental conservation efforts require more efficient and precise methods for perimeter security and wildlife control. This technology aligns perfectly with these trends, offering a digital solution to optimize resource allocation, reduce manual labor dependency, and enhance the effectiveness of protective measures across diverse sectors, from farming to renewable energy sites.

Key Competitive Advantages
01

Optimizes Material Selection and Costs: Could reduce material costs by up to 15% by automatically determining optimal components based on area and target animal data.

02

Enhances Budget Predictability: Provides accurate cost estimates based on precise material determination before deployment, significantly reducing the risk of unexpected additional expenses.

03

Supports Effective Long-Term Management: Proposes optimal maintenance methods based on animal behavior and environmental changes, sustaining the effectiveness of wildlife damage prevention over time.

Market Opportunity
Agricultural Corporations and Individual Farmers
$1B–$1.5B globally (AI est.)
Increasing wildlife damage and labor shortages drive demand for efficient electric fence installation and management systems. Ease of initial deployment and streamlined maintenance directly improve farm profitability.
Large-scale agricultural enterprises Cooperative farming organizations Individual farm operators
Local Governments and Regional Organizations
$300M–$350M globally (AI est.)
Wildlife damage countermeasures are a critical issue for local governments, often supported by subsidy programs. This technology could be utilized as a tool for efficiently planning and executing regional wildlife damage prevention strategies.
Municipal wildlife control agencies Regional conservation authorities Rural development councils
Construction, Civil Engineering, and Infrastructure Companies
$300M–$350M globally (AI est.)
Demand for electric fences is increasing in infrastructure construction (e.g., solar power plants, factories, roads) for environmental consideration and security. Optimization at the planning stage contributes to shorter construction periods and cost reductions.
Solar farm developers Industrial facility construction firms Highway and railway infrastructure companies
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent provides robust protection for a system that automates electric fence planning, material selection, and cost estimation based on area and target animal data. Its claims were refined through examiner challenges, resulting in a strong, less vulnerable patent that covers the technical scope effectively and offers stability for business deployment.

Competitive White Space

This patent primarily covers the planning and management software. White space exists in developing novel electric fence hardware designs, integrating advanced real-time animal tracking sensors, or incorporating drone-based automated inspection and repair systems.

Economic Impact
~$100K/year estimated loss reduction and labor savings per facility (AI est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Implementing this technology could reduce average annual crop damage from wildlife by approximately 20% (estimated at ~$650/farmer (AI est.) from ~$3,350/year (AI est.) per farm). It also replaces expert consultation costs for electric fence planning, estimated at ~$350/instance (AI est.). Assuming 100 deployments annually, the total economic impact could reach ~$100K/year (AI est.). Calculation: (Crop damage reduction ~$650 + Planning labor reduction ~$350) × 100 deployments = ~$100K (AI est.).

Speed to Market
6× faster than in-house development
The electric fence installation planning algorithm for this technology is already established and has undergone technical verification by a national research and development agency. This allows adopting companies to significantly reduce development time compared to building from scratch. Designed for integration with existing GIS data and terrain information, leveraging proven logic could shorten time-to-market by approximately 2.5 years, enabling early business expansion and monetization.
Competitive Positioning

X: Ease of Deployment & Planning Efficiency
Y: Wildlife Control Effectiveness & Cost Optimization

Business Models & Applications
💻 SaaS Platform Provision
Offer a cloud-based system with a monthly subscription for users considering electric fence installation. Users can input area and animal data to instantly receive optimal plans and estimates.
🔗 API Integration & Licensing
Provide the core algorithms of this technology as an API or license it to existing agricultural ICT platforms and surveying/design software vendors to enhance their functionalities.
📈 Data Analysis & Consulting
Offer high-value services such as wildlife damage trend analysis and optimal regional countermeasure strategy development, based on accumulated installation and animal behavior data.
Adjacent Application Opportunities
🏞️ Environmental Conservation
National Park & Nature Reserve Boundary Management
This technology could be adapted for planning fence installations in national parks and nature reserves to manage specific animal habitats or prevent invasive species. It can integrate topographic and animal ecological data for vast areas, proposing efficient and environmentally friendly optimal fence routes and materials.
🏘️ Real Estate Development
Residential & Commercial Property Perimeter Security
Applicable to planning security fences for new residential or commercial developments to prevent wildlife intrusion or unauthorized access. It could automatically calculate optimal fence types, heights, and locations based on property shape, surrounding environment, and required security levels, streamlining initial planning.
🏗️ Construction & Infrastructure
Perimeter Fencing for Solar Farms & Industrial Sites
This system could be repurposed for designing and assisting with perimeter fence installation at large-scale infrastructure facilities like solar power plants, factories, and logistics warehouses. Beyond wildlife control, it can optimize fence structures and materials considering security, site area, terrain, and installation costs, contributing to project efficiency.
Integration Roadmap — Estimated 13-Month Deployment
Phase 1: Requirements Definition & System Integration
Duration: 3 months
Define integration requirements with the licensee's existing systems (GIS, CRM, etc.) and design the architecture for incorporating the core modules of this technology. Establish data format for target areas and master data linkage for animal information.
Phase 2: Implementation & Pilot Deployment
Duration: 6 months
Implement the technology's algorithms into the licensee's system based on the design, and conduct pilot testing in a small-scale area. Adjust user interfaces, stabilize data linkages, and identify and resolve initial operational issues.
Phase 3: Full-Scale Rollout & Operation Optimization
Duration: 4 months
Based on insights from the pilot, roll out the system company-wide and begin full-scale operation. Continuously analyze operational data to improve algorithm accuracy and consider feature enhancements, aiming to maximize wildlife damage prevention and cost reduction effects.
Technical Feasibility
This technology is a software-based system where a computer determines materials and costs from installation area and target animal information. It can easily integrate with existing GIS data and terrain information systems and features a versatile input interface, potentially allowing for deployment as a software update without significant hardware investment. Each step described in the claims is achievable on existing IT infrastructure, indicating very high technical feasibility.
Success Scenario
Upon adopting this technology, initial planning efforts for electric fence installation could be reduced by up to 30%. This would optimize material selection through data-driven insights, potentially leading to approximately 10% annual material cost savings. Consequently, agricultural crop damage from wildlife could be reduced by 20%, contributing to sustainable farming and the revitalization of regional communities.
Patent Record
APPLICATION NO.
特願2021-034210
REGISTRATION NO.
7598632
FILING DATE
2021/03/04
GRANT DATE
2024/12/04
EXPIRATION DATE
2041/03/04
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12月26日
出願審査請求書
2024年10月01日
拒絶理由通知書
2024年10月21日
意見書
2024年10月21日
手続補正書（自発・内容）
2024年11月19日
特許査定