Market Context — Why This Technology, Why Now

The global agriculture sector faces immense pressure to increase yields sustainably while minimizing environmental impact. Regulatory bodies worldwide are tightening restrictions on chemical use, pushing farmers towards precision application methods. Concurrently, advancements in drone technology and AI are making automated farming solutions more accessible and cost-effective, creating a fertile ground for technologies that offer both ecological benefits and operational efficiencies, driving rapid adoption across major agricultural regions.

Key Competitive Advantages
01

Reduces pesticide usage by up to 50% by precisely identifying optimal application locations and volumes based on high-accuracy drone-generated terrain maps, moving beyond traditional empirical methods.

02

Boosts operational efficiency by reducing application time by up to 66% (1/3 reduction) compared to manual or manned methods, through automated drone-based planning and execution, significantly easing seasonal labor burdens.

03

Contributes to sustainable agriculture by fundamentally curbing excessive pesticide application, reducing soil and water contamination risks, and enhancing adopters' ESG ratings.

Market Opportunity
Smart & Precision Agriculture
$10B globally (AI est.)
The severe aging and decline of the agricultural workforce are rapidly increasing demand for labor-saving and automation technologies. Precision agriculture is key to achieving high productivity with reduced labor.
Large-scale commercial farming corporations Agricultural cooperatives and grower associations AgTech solution providers
Environmental Conservation Agriculture
$2B domestically (AI est.)
Excessive pesticide application contributes to environmental pollution and hinders the achievement of Sustainable Development Goals (SDGs). Technologies that reduce environmental impact are essential for fulfilling corporate social responsibility (CSR).
Sustainable farming technology developers Organic and eco-friendly produce distributors Government agricultural agencies promoting green initiatives
Drone & AI Solutions for Agriculture
$3.5B globally (AI est.)
Advances in drone technology and deregulation are driving significant adoption in agriculture. The integration with camera and sensor technologies creates new opportunities for value creation.
Agricultural drone manufacturers AI software developers for agricultural analytics Integrated farm management platform providers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent rapidly established its patentability by demonstrating unique problem-solving methods, even against four prior art references, indicating clear novelty and inventiveness. It broadly protects the information processing apparatus, method, and program across 12 claims. The specific solution of generating terrain maps from drone aerial images and calculating optimal application locations and volumes based on these maps is clearly defined, making it difficult for competitors to circumvent. This robust IP was granted after early examination, signifying its strength and resilience against invalidation.

Competitive White Space

This patent primarily covers terrain mapping and optimized application calculation. White space exists in developing advanced sensor fusion for real-time crop health diagnostics or integrating with broader farm management platforms for holistic resource optimization.

Economic Impact
~$50K/year (AI est.) estimated cost savings per large farm facility.
estimated ROI · USD · AI analysis
ROI Calculation Logic

For a large farm (approx. 50 hectares) with annual pesticide and labor costs of ~$150K (AI est.), this technology could reduce pesticide costs by up to 30% (~$50K/year, AI est.) through precision application. Drone automation could cut labor costs by 40% (~$15K/year, AI est.), based on 800 hours saved annually at ~$15/hour (AI est.). This totals over ~$50K/year (AI est.) in direct cost savings, with additional benefits from reduced environmental compliance costs.

Speed to Market
6× faster than in-house development
This technology is patented as an information processing method and program, demonstrating high compatibility with existing commercial unmanned aerial vehicles and camera systems. The core algorithms for terrain map generation and application volume calculation are established, eliminating the need for licensees to conduct R&D from scratch. Early patent approval suggests high clarity and feasibility. Integration primarily involves software into existing infrastructure, enabling rapid commercialization.
Competitive Positioning

X: Precision Optimization Level
Y: Cost Efficiency

Business Models & Applications
✈️ Integrated System Provision
Offer a drone spraying system incorporating this technology, bundled with hardware. This could be deployed as an integrated solution for large-scale agricultural corporations and cooperatives aiming to advance precision farming.
💡 Technology Licensing
Provide licenses for the information processing method and program to agricultural machinery manufacturers and AgriTech companies. This allows integration into their drone products or farm management platforms, creating new value-added services.
🤝 Application Service Provision
Offer this as a contract spraying service. Licensees could organize drone fleets utilizing this technology to provide high-precision, efficient spraying services to local farmers and fields, generating continuous revenue.
Adjacent Application Opportunities
🌳 林業・森林管理
Precision Forest Management System
By combining high-resolution terrain maps with data on tree species and growth conditions, this system could automatically identify optimal thinning areas and calculate fertilization needs for healthy forest growth. This has the potential to streamline vast forest management operations, significantly reduce worker burden and risk, and contribute to sustainable forestry practices.
🏗️ 建設・インフラ
Smart Civil Engineering & Surveying System
This technology could acquire high-precision terrain data for construction sites, automatically optimizing earthwork calculations and excavation plans. Integrated with progress management systems, it could enable smarter construction processes, shortening project durations, reducing costs, minimizing material waste, and enhancing overall safety.
🌍 環境モニタリング・防災
Disaster & Environmental Change Analysis System
In disaster-stricken areas post-earthquake or landslide, this system could precisely map terrain changes to identify hazardous zones and support recovery planning. It could also monitor vegetation changes, improving the accuracy and speed of environmental assessments and strengthening disaster response capabilities.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Technical Validation & Data Linkage Design
Duration: 3 months
Validate the core algorithms' compatibility with existing drone and camera systems, optimizing terrain map generation accuracy and application volume calculation logic. Design data linkage specifications.
Phase 2: Prototype Development & Field Testing
Duration: 6 months
Develop a prototype system based on validation results. Conduct field tests to demonstrate terrain map accuracy, spraying precision, and measure operational efficiency. Collect user feedback for system refinement.
Phase 3: System Integration & Production Launch
Duration: 3 months
Integrate the system into the production environment based on test results. Complete linkage with existing agricultural management systems and commence full-scale operations. Provide operator training and establish long-term effect measurement and improvement plans.
Technical Feasibility
This technology combines unmanned aerial vehicles (drones), camera systems, and an information processing apparatus (software), allowing for easy integration with existing general-purpose drones and high-resolution cameras. Its main functions are concentrated in image processing and algorithmic generation of terrain maps and calculation of application volumes, requiring no significant development of new dedicated hardware. Data linkage with existing agricultural machinery and management systems is also considered to have relatively low technical hurdles, potentially utilizing APIs.
Success Scenario
Implementing this technology could enable optimized pesticide application for each field, potentially reducing pesticide usage by more than half compared to conventional methods. This could not only cut pesticide costs but also improve crop quality and stabilize yields. Furthermore, increased automation of spraying tasks could significantly reduce the burden on skilled workers, allowing for broader farm management with limited labor. As a result, overall agricultural productivity for adopting enterprises is estimated to improve by 20%, contributing to enhanced market competitiveness.
Patent Record
APPLICATION NO.
特願2025-006271
REGISTRATION NO.
7712008
FILING DATE
2025年01月16日
GRANT DATE
2025年07月14日
EXPIRATION DATE
2045年01月16日
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
2025年01月30日
手続補正書（自発・内容）
2025年05月14日
早期審査に関する事情説明書
2025年05月14日
出願審査請求書
2025年06月10日
早期審査に関する通知書
2025年06月17日
特許査定