Market Context — Why This Technology, Why Now

The global smart agriculture market is experiencing rapid growth, projected at a 12.5% CAGR, driven by increasing demand for food security, resource efficiency, and climate resilience. Regulatory pressures for sustainable farming practices and consumer demand for high-quality, consistent produce are also accelerating the adoption of advanced environmental control systems. This technology positions companies to capitalize on these trends by offering a proven solution for optimizing yields and reducing operational risks.

Key Competitive Advantages
01

Reduces High-Temperature Damage Risk by up to 20%

02

Stabilizes Yield and Quality

03

Automates and Streamlines Environmental Control

Market Opportunity
Protected Horticulture (High-Value Crops)
$5B–$10B globally (AI est.)
For high-value crops like tomatoes, strawberries, and melons, environmental control directly impacts profitability, and there is a high demand for mitigating climate change risks. Investment in smart agriculture is active.
Large-scale greenhouse operators High-tech vertical farm developers Agricultural technology integrators
Plant Factories & Controlled Environment Agriculture
$1B–$2B globally (AI est.)
Precise temperature and humidity management are essential in artificial environments. Predictive control, like this technology, significantly contributes to production efficiency and quality stabilization, driving high adoption demand.
Indoor farming companies Vertical farm technology providers Controlled environment system manufacturers
Agricultural ICT Solutions
$2B–$4B globally (AI est.)
As agricultural data collection, analysis, and utilization advance, environmental control technologies are increasingly integrated with AI and IoT platforms, becoming part of comprehensive smart agriculture systems.
Smart agriculture platform developers IoT sensor and control system providers Agricultural software companies
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a broad scope of the technology, covering diverse aspects through 12 claims. It was granted after successfully overcoming examiner rejections with precise arguments and amendments, establishing clear and robust rights with low invalidation risk. The patent's strength is further evidenced by its allowance over six prior art documents.

Competitive White Space

White space exists in integrating this predictive control with other environmental factors like humidity, CO2, or nutrient delivery systems. Further IP could also be developed around advanced sensor fusion or energy optimization algorithms for specific crop types.

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

Assuming an annual revenue of ~$1M (AI est.) per hectare for tomato cultivation, preventing a 10% yield reduction due to high-temperature damage could result in an annual revenue increase of ~$100K (AI est.). Additional economic benefits are expected from improved quality leading to higher shipping prices and reduced labor costs.

Speed to Market
4× faster than in-house development
This technology is a research outcome from a national R&D institution, with its core temperature prediction algorithm and control logic already established. This eliminates the need for licensees to develop the technology from scratch, significantly shortening basic research and validation phases. Resources can be focused on integration design and adjustments for existing greenhouse facilities, enabling faster market entry and business launch.
Competitive Positioning

X: Yield Stability & Quality Improvement
Y: Environmental Impact Reduction & Labor Savings

Business Models & Applications
💡 Technology Licensing Model
Granting licenses for this technology to agricultural machinery manufacturers and greenhouse system integrators, generating royalty income. This model promotes integration into existing products.
☁️ SaaS Environmental Control Service
Developing a cloud-based environmental control platform powered by this technology, offered to agricultural corporations and producers on a monthly subscription basis. Data analytics features can also be added.
🤝 Joint Development & System Provision
Collaborating with specific agricultural corporations or local governments to jointly develop and provide customized in-facility temperature control systems. This allows for tailored solutions based on on-site needs.
Adjacent Application Opportunities
🏡 Smart Homes & Buildings
Optimized Indoor Comfort & Energy Efficiency
Applying this technology's predictive control logic could optimize indoor environments in homes and office buildings. This could maintain occupant comfort while efficiently managing energy consumption from HVAC systems, potentially reducing energy use by 15-20%.
🔬 Research & Laboratory Facilities
Precision Environmental Replication & Maintenance
This technology could be adapted for research facilities in biotech/pharma or precision manufacturing plants to maintain and replicate specific temperature and humidity conditions with extremely high accuracy. This could improve experimental reproducibility and stabilize product quality, reducing variability by up to 30%.
📦 Logistics & Warehouse Management
Quality Preservation for Perishables & Pharmaceuticals
Implementing a predictive temperature control system based on this technology in warehouses and transport containers for temperature-sensitive goods like fresh produce, pharmaceuticals, and chemicals could reduce quality degradation risks and cut spoilage losses by 10-25%.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Technology Assessment & Requirements Definition
Duration: 3 months
Define detailed technical requirements based on the licensee's existing facilities and crops, evaluating the technology's applicability and potential impact. Compatibility verification for sensor data may be conducted as needed.
Phase 2: System Development & Pilot Implementation
Duration: 9 months
Integrate the technology's predictive control algorithm into the licensee's system and conduct pilot experiments in selected greenhouses or facilities. Performance measurement and algorithm adjustments will be performed.
Phase 3: Full-Scale Deployment & Operational Optimization
Duration: 6 months
Based on pilot results, deploy the system fully and commence widespread operations. Continuous optimization will be pursued using operational data to maximize economic benefits and sustainability.
Technical Feasibility
This technology could integrate with common control equipment already present in existing greenhouses, such as temperature sensors, ventilation fans, shade curtains, and cooling systems, thus requiring no new major capital investment. Patent claims suggest the use of existing in-facility environmental data acquisition means and controlled equipment, indicating that software implementation and adjustment would be the primary focus, leading to low technical adoption barriers.
Success Scenario
Implementing this technology could reduce crop losses from high-temperature damage in greenhouses by up to 20% annually. This is expected to ensure stable yields and improved quality, establishing a competitive advantage in the market. Furthermore, automating environmental control could alleviate the burden on skilled workers, leading to more efficient labor costs.
Patent Record
APPLICATION NO.
特願2021-012596
REGISTRATION NO.
7556542
FILING DATE
2021/01/29
GRANT DATE
2024/09/17
EXPIRATION DATE
2041/01/29
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07月27日
出願審査請求書
2024年04月16日
拒絶理由通知書
2024年05月24日
意見書
2024年05月24日
手続補正書（自発・内容）
2024年09月03日
特許査定