Market Context — Why This Technology, Why Now

The global livestock industry faces immense pressure to increase output and efficiency while maintaining sustainability and animal welfare. Consumer demand for high-quality, consistently graded meat products is rising, pushing producers to adopt advanced analytics. Simultaneously, a shrinking agricultural workforce necessitates automation. This technology offers a scalable, data-driven solution to optimize resource allocation, improve meat quality consistency, and reduce operational costs, aligning with global trends towards smart farming and precision agriculture.

Key Competitive Advantages
01

Significantly enhances assessment accuracy by calculating a slope index from cattle contours via image analysis, enabling objective and quantitative physique evaluation independent of human experience, contributing to quality uniformity and yield improvement.

02

Offers high adaptability to diverse rearing environments by employing a versatile mechanism that captures standing cattle from directly behind or in front, designed for easy integration into existing livestock farms without requiring specialized equipment.

03

Streamlines and optimizes livestock management by automating assessment tasks, substantially reducing labor costs and time. Supports data-driven feeding plan optimization, achieving both increased productivity and cost control.

Market Opportunity
$10B globally (AI est.)
Farmers aiming for stable supply of high-quality beef and improved production efficiency. Automated physique assessment enables optimized feed costs and precise shipping timing.
Large-scale beef cattle producers Integrated meat processing companies Livestock technology solution providers
$20B globally (AI est.)
For managing dairy cow health and improving reproductive efficiency. Physique assessment can help identify nutritional status and stress levels early, contributing to milk yield maintenance and disease prevention.
Dairy farm management software developers Animal health monitoring system providers Large-scale dairy cooperatives
$16.5B globally (AI est.)
Ensuring meat quality consistency and strengthening brand value. Objective assessment data supports stable procurement and sales of high-quality beef.
Major meat packers and processors Food distribution and retail chains Quality assurance and grading technology firms
$6.5B globally (AI est.)
For verifying feed efficacy and developing new products. This technology could quantitatively analyze the impact of feed on cattle physique, potentially leading to the development of more effective feed formulations.
Global animal nutrition companies Livestock feed formulation software developers Agricultural research and development institutions
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent comprehensively protects the entire process from image acquisition and contour extraction to index calculation and physique assessment. Its innovative assessment method, utilizing the 'slope index' of cattle contours, provides clear differentiation from other technologies. The successful overcoming of two office actions confirms the clarity and validity of the claims, indicating a robust and difficult-to-invalidate right.

Competitive White Space

This patent focuses on image-based physique assessment. Licensees could develop complementary IP in areas such as integrated feed delivery systems, genetic analysis for breeding optimization, or advanced predictive analytics for disease detection based on behavioral patterns, which are not directly covered.

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

Automating cattle physique assessment in livestock operations could reduce annual labor by approximately 2,500 hours (equivalent to ~$35K/year per worker, AI est.). Furthermore, a 5% improvement in meat quality grade due to enhanced assessment accuracy could increase value by ~$200/head (AI est.), totaling ~$100K/year for 500 head. The combined economic effect is estimated to exceed ~$100K/year.

Speed to Market
6× faster than in-house development
This technology benefits from foundational research completed by a national R&D institution, with established image data acquisition and contour analysis algorithms for specific environments. This significantly reduces initial development investment for licensees, allowing rapid system integration using existing technical foundations. It could shorten time-to-market by approximately 2.5 years, enabling faster business expansion and monetization.
Competitive Positioning

X: Ease of Adoption & ROI
Y: Assessment Accuracy & Objectivity

Business Models & Applications
☁️ SaaS System Provision
Offer the cattle physique assessment system as a cloud-based SaaS, collecting monthly subscription fees. Includes data analytics to support optimal rearing practices for licensees.
🤝 Technology Licensing
License the patent rights for this technology to livestock equipment manufacturers and system integrators (SIers). This promotes integration into existing products and services, accelerating market penetration.
🤖 Hardware-Integrated Solution Sales
Sell the assessment device and software as a bundled solution, integrated into existing livestock facilities. Provides an end-to-end solution from installation to operation.
Adjacent Application Opportunities
🐖 General Livestock
Growth & Health Management for Other Livestock
This technology could be applied to other livestock like pigs and poultry for growth stage evaluation, early disease detection, and maintaining optimal rearing environments. Image analysis could track individual health status and physique changes, significantly enhancing the precision of overall livestock management.
🐶 Pet & Animal Healthcare
Pet Obesity & Health Monitoring
Transposing this technology to pet health could enable objective monitoring of pet obesity and overall health. This would provide veterinarians and pet owners with data-driven insights for appropriate diet management and treatment plans, potentially improving pet quality of life through early anomaly detection.
🦌 Environment & Ecosystem Preservation
Wildlife Population Assessment & Monitoring
Applying this technology to wild animals could enhance the efficiency of ecosystem monitoring through automated individual identification and health assessment of herds. In areas difficult for human surveys, image data could track population numbers and body condition changes, supporting conservation efforts with valuable metrics.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Technical Validation & Requirements
Duration: 3 months
Verify compatibility with the licensee's existing infrastructure, confirm on-site image data collection environments, and define detailed system requirements.
Phase 2: System Development & Pilot
Duration: 6 months
Develop a system tailored to the licensee's needs, based on the core algorithms of this technology. Conduct pilot implementation in selected rearing areas, iterating data collection and accuracy verification.
Phase 3: Full Operation & Optimization
Duration: 3 months
Optimize the system based on pilot results and initiate full-scale operation across all rearing areas. Aim for continuous improvement of rearing processes and maximization of economic benefits through ongoing data analysis.
Technical Feasibility
This technology is a software-based assessment system that processes two-dimensional images captured by general-purpose cameras. It is easily integrated with existing surveillance cameras or smartphones, requiring no significant capital investment. Based on the patent claims, integration as a module into existing systems is technically feasible.
Success Scenario
Upon adoption, cattle physique assessment could be fully automated, accumulating high-precision data daily without relying on skilled human experience. This may enable scientific optimization of feed and adjustment of shipping times, potentially improving meat quality grades by an average of 5% and increasing annual revenue by 10%. It is also estimated to contribute to alleviating labor shortages, boosting on-site productivity by 1.2 times.
Patent Record
APPLICATION NO.
特願2021-175669
REGISTRATION NO.
7705145
FILING DATE
2021/10/27
GRANT DATE
2025/07/01
EXPIRATION DATE
2041/10/27
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
2022年03月25日
手続補正書(自発・内容)
2023年12月04日
出願審査請求書
2025年02月25日
拒絶理由通知書
2025年04月10日
意見書
2025年04月10日
手続補正書(自発・内容)
2025年05月07日
拒絶理由通知書
2025年06月04日
手続補正書(自発・内容)
2025年06月04日
意見書
2025年06月17日
特許査定