Market Context — Why This Technology, Why Now

The global agricultural sector is undergoing a digital transformation, driven by demands for increased efficiency, sustainability, and animal welfare. Precision livestock farming, leveraging AI and IoT, is becoming essential to meet rising food demand while minimizing environmental impact. This technology aligns perfectly with this trend, offering a scalable, cost-effective solution for data-driven animal health management, crucial for optimizing resource allocation and ensuring long-term farm viability.

Key Competitive Advantages
01

Achieves high-precision non-invasive assessment: Accurately identifies rumen size scores from 2D images, enabling objective health monitoring without reliance on subjective manual evaluation.

02

Significantly reduces implementation costs: Leverages existing 2D camera systems, substantially cutting new investment in expensive 3D scanners or specialized measurement equipment.

03

Enables data-driven livestock management: Quantifies rumen scores to optimize feed allocation and disease prevention plans, improving both production efficiency and animal health.

Market Opportunity
Precision Dairy Farming 🐄
$10B–$15B globally (AI est.)
Demand is increasing for rumen assessment to improve feed efficiency and optimize milk yield and quality.
Large-scale dairy farm operators Dairy equipment manufacturers Livestock management software providers
Beef Cattle Fattening 🐂
$8B–$10B globally (AI est.)
Strong need for visualizing health status to optimize shipping times and improve meat quality.
Commercial beef producers Meat processing companies Animal nutrition companies
Veterinary & Research Institutions 🧪
$4B–$5B globally (AI est.)
Demand exists for objective evaluation tools in cattle health diagnostics and feed efficacy research.
Veterinary pharmaceutical companies Agricultural research organizations Animal health diagnostic labs
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent establishes broad protection for both a cattle evaluation device and its method, covering the precise identification of rumen size scores from 2D images. Its grant without office actions, despite four prior art references, indicates strong novelty and inventiveness, offering a robust and stable intellectual property foundation with low invalidation risk.

Competitive White Space

While this patent focuses on cattle rumen assessment, white space exists in applying similar 2D image analysis to other physiological indicators or for real-time behavioral monitoring in livestock, or extending the core image processing algorithms to non-animal biological entities like plant health assessment.

Economic Impact
~$150K/year estimated productivity improvement per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Implementing this technology enables real-time monitoring of cattle rumen health, optimizing feed efficiency and facilitating early disease detection. For a dairy or beef farm with 500 head, this could lead to a 5% reduction in feed costs (~$15K/year (AI est.)), a 10% reduction in disease-related losses (~$5K/year (AI est.)), and a 5% increase in shipping price due to improved health (~$145K/year (AI est.)), totaling an estimated annual economic benefit of ~$165K (AI est.).

Speed to Market
6× faster than in-house development
This patent features a well-established algorithm for identifying cattle rumen scores from 2D images, indicating a high level of technical maturity with granted patent status. Developing a similar system from scratch could take approximately 3 years for R&D in image recognition algorithms, data collection, and model construction. However, by licensing this technology, market entry could be achieved in approximately 0.5 years through software integration with existing camera systems and on-site adjustments, enabling rapid competitive advantage.
Competitive Positioning

X: Ease of Implementation
Y: Data Accuracy & Objectivity

Business Models & Applications
💻 Software Licensing
Provide software licenses to integrate this technology into existing camera systems. This reduces initial deployment costs and enables rapid market expansion.
☁️ SaaS Rumen Assessment Service
Offer a cloud-based rumen assessment service. Farmers can receive real-time analysis results without dedicated hardware, enhancing livestock management.
⚙️ Equipment Integration Solutions
Integrate with existing automated feeders and sensors to build feed adjustment systems based on rumen scores, providing comprehensive smart farm solutions.
Adjacent Application Opportunities
General Livestock 🐑
Health Assessment for Other Livestock
This technology's image analysis logic for body shape evaluation could be adapted to assess the health and growth of other livestock, such as sheep or pigs. For instance, it could estimate pig fattening status from backline shape to determine optimal market timing, potentially improving yield by 5-10%.
Plant Factories 🌿
Crop Growth & Health Monitoring
The principle of contour extraction and angle calculation from image analysis could be applied to plants, detecting changes in leaf shape or stem thickness to non-invasively assess growth, nutritional status, or early signs of disease. This could enhance precision cultivation management in smart agriculture, potentially reducing crop loss by 15%.
Pet Healthcare 🐾
Pet Body Condition Monitoring
This technology could be applied to services that regularly monitor body shape changes in domestic pets (dogs, cats) via images, enabling early detection of obesity, underweight conditions, or specific health issues. This offers pet owners an accessible tool for health management, potentially reducing vet visits for preventable conditions by 20%.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Basic Validation & Requirements
Duration: 2 months
Verify compatibility with the licensee's existing camera systems, define data linkage specifications, and align on on-site evaluation criteria.
Phase 2: System Development & Prototyping
Duration: 6 months
Develop the image analysis module based on the patented technology, integrate it into existing systems, and conduct prototype evaluation and improvements in a test environment.
Phase 3: Field Deployment & Optimization
Duration: 4 months
Deploy the system in a live operational environment, validate accuracy using real cattle data, establish operational frameworks, and implement continuous improvements.
Technical Feasibility
This technology utilizes general-purpose 2D images, making it highly compatible with existing surveillance cameras or smartphone cameras that many potential licensees already possess. It avoids the need for expensive specialized sensors or extensive equipment modifications. The primary integration challenges involve embedding the software module and adjusting existing data linkages. The patent claims also describe a general-purpose image acquisition unit, indicating high compatibility with current infrastructure.
Success Scenario
Upon adoption, this technology could automatically record cattle rumen size scores daily, providing immediate visualization of changes in feed intake and health status. This would enable junior staff to perform precise, data-driven livestock management without relying on experienced specialists, potentially improving feed efficiency by 5% and generating an estimated annual economic benefit of ~$165K (AI est.).
Patent Record
APPLICATION NO.
特願2021-041342
REGISTRATION NO.
7562143
FILING DATE
2021/03/15
GRANT DATE
2024/09/27
EXPIRATION DATE
2041/03/15
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04日
出願審査請求書
2024年09月10日
特許査定