Market Context — Why This Technology, Why Now

The global push for sustainable agriculture and increased food production efficiency is accelerating the adoption of smart farming technologies. With labor shortages impacting traditional farming and consumer demand for high-quality, consistent produce rising, there's a critical need for solutions that optimize resource use and boost yields. This technology aligns perfectly with these trends, offering a data-driven approach to plant management that reduces waste, enhances productivity, and supports the development of resilient food systems worldwide.

Key Competitive Advantages
01

Enables high-precision, non-invasive estimation of solar radiation by analyzing photosynthetic pigment absorption spectra from specific wavelength images, minimizing plant stress and allowing continuous monitoring.

02

Leverages a unique measurement principle combining photosynthetic pigment light absorption spectra and bandpass characteristics, offering a distinct advantage over existing technologies and enabling rapid market penetration.

03

Optimizes greenhouse shading and lighting in real-time based on solar radiation data, maximizing plant photosynthetic efficiency and contributing to increased yields and uniform crop quality.

Market Opportunity
Smart Agriculture & Protected Horticulture
$1.5B globally (AI est.)
Demand for yield and quality improvement through precise environmental control is driving the accelerated adoption of IoT and AI technologies, increasing the need for this technology.
Large-scale greenhouse operators Agricultural IoT solution providers Smart farm technology integrators
Plant Factories & Vertical Farming
$3.5B globally (AI est.)
Optimizing light environments is crucial for efficient production in confined spaces, and this technology directly contributes to improved profitability.
Controlled environment agriculture (CEA) companies Urban farming technology providers Indoor farm operators
Agricultural Consulting & SaaS
$350M globally (AI est.)
High-precision solar radiation data provides high-value-added services for cultivation data-based advice and SaaS offerings, creating new revenue streams.
Agritech software developers Farm management platform providers Agricultural data analytics firms
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a measurement system and method for estimating solar radiation from plant images, specifically by analyzing photosynthetic pigment absorption spectra in a particular wavelength range. Its 13 claims provide robust protection, indicating high novelty and inventiveness, making it difficult for competitors to circumvent.

Competitive White Space

Adjacent white space includes developing advanced AI for automated disease detection from these images, integrating with robotic harvesting systems, or creating closed-loop nutrient delivery systems optimized by the solar radiation data.

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

Implementing this technology in protected horticulture enables precise environmental control based on solar radiation. This could increase plant growth rate by an average of 10% and harvest yield by 15%. For example, a facility with ~$650K (AI est.) in annual sales could see an additional ~$100K/year (AI est.) in revenue from a 15% yield increase. Additional benefits from shortened growth cycles and improved quality uniformity could further enhance profitability.

Speed to Market
6× faster than in-house development
This technology can be realized by combining an image extraction unit that extracts images in a specific wavelength range with existing cameras and reflective members, and the key technological elements required for demonstration are already established. Additionally, the solar radiation calculation algorithm has already been designed, significantly reducing the development effort for adopting companies. Its structure allows for relatively easy integration into existing protected horticulture systems and agricultural IoT infrastructure, which is expected to shorten the time to market by approximately 2.5 years compared to new development, enabling early business launch and monetization.
Competitive Positioning

X: Measurement Precision
Y: Ease of Implementation

Business Models & Applications
💡 Sensor & System Sales
Selling measurement systems or camera modules equipped with this technology to protected horticulture farms and plant factories could generate revenue through initial installation fees and maintenance costs.
☁️ Cultivation Data Analytics SaaS
Offer a subscription service that analyzes solar radiation data acquired by this technology on the cloud, proposing optimal environmental control parameters and plant growth insights.
🌱 Agricultural Consulting
Provide consulting services that develop and implement cultivation plans and environmental control strategies for yield improvement and cost reduction, based on data from this technology.
Adjacent Application Opportunities
🌲 Forestry & Forest Management
Forest Health Monitoring
This technology could diagnose tree photosynthetic efficiency across vast forests using image analysis. It has the potential to aid in early detection of pests and diseases, predict growth, and estimate CO2 absorption, contributing to sustainable forest management and potentially reducing operational costs by 15-20%.
🏘️ Urban Greening & Landscape Management
Urban Green Space Health Diagnostics
Non-invasively assesses the health of plants in urban parks and rooftop gardens. This could optimize watering and fertilization, enable early detection of plant stress, and potentially reduce maintenance costs by up to 25% while preserving aesthetic value.
💊 Pharmaceutical & Cosmetic Ingredient Cultivation
Optimizing Bioactive Compound Production
In the cultivation of plants containing specific functional ingredients, solar radiation management could maximize compound generation. This is expected to contribute to stable quality and increased production efficiency, potentially boosting yields of high-value raw materials by 10-20%.
Integration Roadmap — Estimated 18-Month Deployment
Proof of Concept & Requirements Definition
Duration: 3 months
Define integration requirements with the licensee's existing systems, clarify the technology's scope and expected benefits. Develop a prototype and verify basic functions in a small-scale environment.
System Development & Pilot Implementation
Duration: 9 months
Develop the system based on requirements. Integrate with existing cameras and control systems, conduct trial operations in a real environment, collect data, and adjust and optimize algorithms.
Full-Scale Operation & Evaluation
Duration: 6 months
Evaluate pilot implementation results and deploy to all target areas. Continuously analyze operational data to explore further efficiencies and potential feature expansions.
Technical Feasibility
This technology can be easily integrated into existing monitoring systems in protected horticulture and plant factories by utilizing general-purpose cameras and reflective members. The patent claims clearly describe the function of the image extraction unit, which can be implemented through software updates or by adding modules to existing hardware. As it does not require large-scale capital investment and has low technical hurdles, rapid adoption and high compatibility with existing infrastructure are expected.
Success Scenario
If this technology is adopted, precise environmental control based on solar radiation could be automated in cultivation sites, significantly reducing reliance on skilled workers' experience. This could decrease plant growth variations, potentially increasing harvest yields by an average of 15% and improving quality uniformity. As a result, it is estimated that stable, high-quality crop production could be achieved year-round, strengthening market competitiveness.
Patent Record
APPLICATION NO.
特願2021-002550
REGISTRATION NO.
7541733
FILING DATE
2021/01/12
GRANT DATE
2024/08/21
EXPIRATION DATE
2041/01/12
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01日
出願審査請求書
2024年07月31日
特許査定