Market Context — Why This Technology, Why Now

The global demand for sustainable and efficient food production is escalating due to population growth, climate volatility, and diminishing arable land. This drives significant investment in smart agriculture and AgTech solutions. Regulatory pressures for reduced chemical use and increased resource efficiency further compel the adoption of precision farming. This technology offers a critical tool for enterprises seeking to meet these challenges, optimize operations, and gain a competitive edge in a rapidly evolving market focused on data-driven decision-making and environmental responsibility.

Key Competitive Advantages
01

Significantly Enhances Cultivation Precision: Estimates photosynthesis and growth with high accuracy based on solar radiation, temperature, iLAI values from canopy images, and detailed data from flower cluster images. Enables precise, data-driven cultivation management independent of grower experience.

02

Contributes to Profitability Maximization: Provides objective understanding of plant physiological status at each growth stage by comparing photosynthesis and growth estimates. Supports optimal cultivation strategy development, maximizing yields and improving quality.

03

Robust IP Protection: This patent was granted after comparison with 7 prior art documents, confirming its stability and enforceability. Licensees can confidently develop their business with an exclusive period until 2041, establishing market leadership.

Market Opportunity
Controlled Environment Agriculture & Plant Factories
$1.5B globally (AI est.)
This segment demands advanced environmental control and data-driven precision cultivation, accelerating the adoption of AI-powered growth prediction and optimization technologies.
Large-scale greenhouse operators Vertical farm developers Controlled Environment Agriculture technology providers
Large-Scale Agricultural Enterprises
$2.0B globally (AI est.)
These enterprises face challenges in managing multiple fields and training personnel, driving high demand for standardized, data-driven cultivation management systems.
Agribusiness conglomerates Commercial farm management groups Integrated food producers
Agricultural Digital Transformation Solution Providers
$6.5B globally (AI est.)
Integrating this technology into existing smart agriculture platforms could enhance their value proposition, enabling customer acquisition and revenue growth.
Smart agriculture platform developers AgTech software companies Farm management system integrators
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects the core technical features of estimating photosynthesis and growth, and their comparative display, for fruit and vegetable cultivation. Its validity has been rigorously confirmed through multiple examination processes, including overcoming two office actions and a final rejection, demonstrating a robust and stable exclusive right against seven identified prior art documents.

Competitive White Space

This patent primarily covers the estimation and display of plant physiological data. Licensees could develop additional IP in automated actuation systems (e.g., smart irrigation or fertilization based on these estimations) or integrate with robotics for tasks like automated harvesting, without direct conflict.

Economic Impact
~$0.5M/year estimated economic impact per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For a farm with ~$3.5M (AI est.) in annual sales, a 15% yield increase could generate an additional ~$0.5M (AI est.) in revenue. Optimizing material input could reduce costs by 10%, saving ~$30K (AI est.) annually. Total economic impact is estimated at ~$0.5M/year (AI est.).

Speed to Market
6× faster than in-house development
This technology, developed by a national research institution, has established core cultivation algorithms and data analysis logic. This significantly reduces the time and effort for licensees to build image analysis and plant physiological models from scratch. Practical implementation can be achieved rapidly by developing interfaces for existing environmental control systems and sensor data collection infrastructure, and customizing the UI/UX to meet specific licensee needs. This approach is estimated to shorten time-to-market by approximately 2.5 years compared to in-house development.
Competitive Positioning

X: Cost Efficiency
Y: Cultivation Precision and Productivity

Business Models & Applications
☁️ SaaS-Based Cultivation Support Service
Offers this program as a cloud-based SaaS, providing cultivation data analysis and optimization proposals on a monthly subscription. This model could reduce initial investment and promote widespread adoption among farmers.
🤝 Technology Licensing
Grants technology licenses to companies with existing smart agriculture or environmental control systems, enhancing their product value. Royalty income would be the primary revenue source.
📊 Data Integration Solution
Collaborates with agricultural machinery and material manufacturers to build fertilization and irrigation systems integrated with growth data from this technology. Offers this as a high-value-added solution.
Adjacent Application Opportunities
🌲 Forestry & Greening Projects
Forest Growth Monitoring
Estimates photosynthesis and growth of trees using image analysis and environmental data to optimize forest management and reforestation plans. Could also be applied to early detection of pests and accurate calculation of CO2 absorption.
🔬 Bio Research & Breeding
Plant Growth Data Analysis Tool
Utilized for evaluating growth characteristics in new variety development or analyzing plant responses under specific environmental stresses. Could efficiently analyze vast experimental data, shortening R&D cycles and improving accuracy.
♻️ Environmental Monitoring
Urban Greening & Farmland Assessment
Analyzes the health of urban parks, rooftop gardens, and farmlands from satellite or drone imagery. Provides quantitative evaluation of greening effects and monitors changes in soil environments, contributing to sustainable urban planning and environmental conservation.
Integration Roadmap — Estimated 22-Month Deployment
Technology Validation & Requirements Definition
Duration: 4 months
Validates the core logic of this technology and its compatibility with the licensee's existing systems, then defines specific implementation requirements.
System Development & Prototype Implementation
Duration: 9 months
Based on the defined requirements, develops integration into existing systems, implements data linkage modules, and constructs a prototype system.
Pilot Testing & Full Deployment
Duration: 9 months
Conducts small-scale pilot tests for performance evaluation and adjustments. After confirming effectiveness, initiates full-scale system deployment and operation.
Technical Feasibility
This technology is provided as a program, making its integration into existing cultivation management and environmental control systems relatively straightforward. The image data (canopy images, flower cluster images) and environmental data (solar radiation, temperature) described in the claims can be acquired using general-purpose cameras and sensors, minimizing the need for new large-scale capital investment. The clear computational logic ensures technical feasibility, allowing licensees to flexibly build systems while leveraging their existing IT infrastructure.
Success Scenario
Upon adopting this technology, cultivation sites could make objective, data-driven decisions without relying on expert experience. This is estimated to increase yields for fruit and vegetables like tomatoes and cucumbers by 10-20% annually, while also stabilizing quality. Furthermore, optimal water and fertilizer supply could maximize production efficiency while reducing material costs.
Patent Record
APPLICATION NO.
特願2020-087481
REGISTRATION NO.
7758317
FILING DATE
2020/05/19
GRANT DATE
2025/10/14
EXPIRATION DATE
2040/05/19
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03月06日
出願審査請求書
2024年01月30日
拒絶理由通知書
2024年03月19日
意見書
2024年03月19日
手続補正書（自発・内容）
2024年06月04日
拒絶査定
2024年08月30日
手続補正書（自発・内容）
2024年09月06日
審査前置移管
2024年09月10日
審査前置移管通知
2024年11月22日
審査前置解除
2024年11月26日
審査前置解除通知
2025年04月30日
拒絶理由通知書
2025年06月25日
意見書
2025年09月24日
特許査定