Market Context — Why This Technology, Why Now

The global agricultural sector is rapidly adopting smart farming technologies to combat climate change impacts and labor scarcity. Consumers demand consistent, high-quality produce, pushing producers towards controlled environment agriculture. This technology enables data-driven decision-making, offering a strategic advantage to companies seeking to optimize resource use, minimize waste, and achieve predictable, scalable production in a competitive market.

Key Competitive Advantages
01

Optimizes greenhouse environments scientifically through predictive simulations, maximizing photosynthesis and growth balance.

02

Prevents growth-inhibiting factors by integrating temperature, solar radiation, and CO2 analysis, contributing to stable high yields and consistent quality.

03

Enables cultivation management independent of skilled experience, solving knowledge transfer challenges and allowing new growers to achieve efficient operations.

Market Opportunity
Greenhouse Vegetable Cultivation
$500M–$1B globally (AI est.)
Growing consumer demand for high-quality, stable produce, coupled with the increasing importance of controlled environment agriculture as a response to climate change.
Large-scale greenhouse operators Vertical farm developers Agricultural technology integrators
Plant Factories / Vertical Farms
$200M–$400M globally (AI est.)
High demand for urban food production and weather-independent planned production drives active investment in efficiency-enhancing technologies.
Urban farming companies Controlled environment agriculture (CEA) startups Food processing companies with in-house cultivation
Research and Development Institutions
$50M–$100M globally (AI est.)
Precise control of environmental factors and efficient data acquisition are crucial for plant physiology research and new variety development.
Agricultural research universities Biotech firms developing new crop varieties Government agricultural research centers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a cultivation support program that optimizes greenhouse environments through predictive simulations, specifically covering the process of receiving environmental data, simulating growth, and displaying adjustment information. Its robust claims were established after successfully overcoming examiner objections and prior art citations, indicating a strong and defensible scope.

Competitive White Space

This patent focuses on software for environmental control and growth prediction in fruit vegetable greenhouses. Adjacent white space includes developing specialized sensor hardware, integrating with robotic harvesting systems, or applying the AI models to other crop types or livestock management.

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

For a 1-hectare tomato greenhouse, a 15% yield increase could generate ~$20K/year (AI est.) in additional revenue. Reducing skilled labor dependency by 20% could save ~$15K/year (AI est.) in personnel costs. Optimizing environmental controls could also reduce material costs (heating, CO2) by 10%, saving ~$65K/year (AI est.). The total estimated economic impact is over ~$100K/year (AI est.) per facility.

Speed to Market
6× faster than in-house development
This technology, developed by a national research and development agency, has established fundamental algorithms and simulation models. The patent claims indicate easy integration as a software module into existing greenhouse environmental control systems. Therefore, adopting companies can significantly reduce the time and cost required for development from scratch, and are expected to achieve market entry or operational launch in approximately 6 months by verifying integration with existing systems and acquiring demonstration data.
Competitive Positioning

X: Cultivation Efficiency Improvement
Y: Operational Cost Reduction

Business Models & Applications
💻 Software License Provision
Offer this cultivation support program as a SaaS, charging monthly subscription fees to greenhouse farmers and agricultural corporations. This enables data-driven cultivation optimization via a subscription model.
📈 Cultivation Consulting Service
Develop consulting services centered on this technology to achieve high-yield, high-quality cultivation. Provide end-to-end support from analyzing licensee cultivation data to proposing optimization strategies.
🌿 Environmental Control System Integration Sales
Partner with existing greenhouse environmental control equipment manufacturers to sell this program as an integrated solution. Enhance added value through the synergistic effects of hardware and software.
Adjacent Application Opportunities
🌳 Forest Management & Forestry
Forest Growth Prediction System
This technology could predict tree growth and CO2 absorption from weather and soil data, enabling optimal thinning and reforestation strategies. It has the potential to enhance sustainable forest management and contribute to carbon neutrality goals by optimizing carbon sequestration.
🐟 Aquaculture
Aquaculture Water Temperature & Density Optimization
Applicable to aquaculture, this system could simulate aquatic organism growth based on water temperature, dissolved oxygen, and feed data, proposing optimal rearing environments. This could reduce disease risks and improve productivity by up to 20%.
💊 Medicinal Plant Cultivation
Active Ingredient Maximization System
This technology could be adapted to medicinal plant cultivation, predicting and optimizing environmental factors (light, temperature, humidity) influencing active ingredient synthesis. This could ensure a stable supply of high-quality raw materials, potentially increasing active compound yield by 10-25%.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Basic Verification & Requirements Definition
Duration: 3 months
Assess integration potential with the licensee's existing systems and define specific requirements. Design the core patent technology module for compatibility with the existing environment.
Phase 2: System Development & Prototype Construction
Duration: 6 months
Integrate the technology's software module into existing greenhouse control systems based on defined requirements. Build a prototype in a test environment for functional verification and initial data collection.
Phase 3: Demonstration & Production Launch
Duration: 3 months
Conduct demonstration trials in a live operational environment to verify simulation accuracy and effectiveness. After fine-tuning, launch full-scale operation of the cultivation support program to enhance productivity.
Technical Feasibility
This technology is defined as a 'program,' making it easy to integrate as a software module into existing greenhouse environmental control systems. The patent claims specify 'receiving input information,' 'estimating through simulation,' and 'identifying and displaying adjustment information,' providing technical grounds for deployment with generic computers and sensor data, requiring no major modifications to existing facilities.
Success Scenario
Upon adoption, companies could achieve stable high yields in greenhouse fruit vegetable cultivation throughout the year, without relying on skilled experience. This technology is expected to flexibly adapt to sudden environmental changes due to climate shifts, minimizing harvest fluctuation risks and potentially improving production efficiency by up to 15%.
Patent Record
APPLICATION NO.
特願2024-149367
REGISTRATION NO.
7762995
FILING DATE
2024/08/30
GRANT DATE
2025/10/23
EXPIRATION DATE
2044/08/30
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
2024年08月30日
出願審査請求書
2025年06月03日
拒絶理由通知書
2025年07月29日
意見書
2025年07月29日
手続補正書（自発・内容）
2025年10月07日
特許査定