Case Study:Data Product Analysis of a Precision Agriculture Platform Based on IoT and Big Data

Through the use of Internet of Things (IoT) devices such as soil sensors, weather stations, and drones, this enterprise collects farmland data. Leveraging big data analytics technology, they optimize crop planting schemes. Our team has designed a data scenario and product framework based on their data foundation. Furthermore, we have utilized the PRE-RWA solution pioneered by You Shu Technology to design a digital equity fundraising pathway for them, along with subsequent RWA issuance operation procedures. This not only helps the enterprise expand its funding sources but also lays the groundwork for future RWA issuances.

The primary goals of this smart agricultural company are to enhance agricultural productivity through data-driven approaches, minimize resource wastage, and offer value-added services to diversify income streams. The main sources and applications of data are as follows.

Data Collection

The company deploys a variety of Internet of Things (IoT) devices to monitor various indicators of the farmland environment in real-time. These include:

Soil Sensors

Soil Moisture: Measures the amount of water present in the soil.

Temperature: Monitors soil temperature to optimize planting and harvesting times.

pH Levels: Assesses soil acidity or alkalinity to ensure optimal growing conditions.

Nutrient Content: Analyzes essential nutrients such as nitrogen, phosphorus, and potassium.

Weather Stations

Rainfall: Tracks precipitation levels to manage irrigation effectively.

Wind Speed: Monitors wind conditions for spraying pesticides and protecting crops.

Light Intensity: Measures sunlight exposure to optimize photosynthesis.

Temperature Changes: Records fluctuations in ambient temperature affecting crop health.

Drones

Crop Health Monitoring: Captures high-resolution images to assess overall plant health.

Growth Analysis: Evaluates parameters such as leaf color, plant height, and fruit size to track growth stages and detect anomalies.

Pest and Disease Detection: Utilizes image recognition technology to identify disease spots and pest infestations, enabling timely interventions.

Data Analysis

Advanced AI algorithms are employed to process the collected data deeply, generating precise cultivation suggestions and optimization strategies. Examples include:

Precision Irrigation Model: Dynamically adjusts irrigation schedules based on soil moisture levels, weather forecasts, and crop water requirements, thereby minimizing water wastage.

Pest and Disease Prediction Model: Combines historical data with real-time monitoring to forecast the likelihood and timing of pest and disease outbreaks, enabling preemptive control measures.

Yield Prediction Model: Analyzes crop growth cycles, climatic conditions, and historical yield data to predict future production, assisting farmers in formulating sales plans and inventory management strategies.

Data Application

The results of data analysis are transformed into tangible service products to meet the diverse needs of users:

Intelligent Planting Recommendation System: Provides personalized planting advice to farmers based on crop varieties, soil conditions, and climate data, including sowing times, fertilization plans, and irrigation schedules.

Agricultural Management Platform: Integrates farmland data, market trends, and policy information to aid farmers in efficiently managing daily agricultural activities.

Carbon Emission Calculation and Trading Services: Utilizes big data technology to compute the carbon footprint of farmlands and assists farmers in participating in carbon rights trading markets to generate additional income.

Concrete Data Scenarios for Operational Implementation

Scenario 1: Precision Irrigation System

Objective: Reduce water wastage and enhance irrigation efficiency.

Implementation Methods:

High-Precision Soil Moisture Sensors Deployment: Install sensors throughout the farmland to measure soil moisture levels accurately. These sensors transmit data to the cloud every 5 minutes, ensuring real-time monitoring.

Dynamic Irrigation Planning: Integrate meteorological data, including rainfall forecasts and evaporation rates, to adjust irrigation schedules dynamically. This approach optimizes water usage based on actual crop needs and environmental conditions.

Smart Irrigation Control System: Develop an automated system that controls the operation of sprinkler or drip irrigation systems. This system uses IoT devices to regulate the timing and volume of water flow, ensuring precise and efficient irrigation.

Scenario 2: Pest and Disease Prediction and Control

Objective: Provide early warnings for pest and disease outbreaks to minimize losses.

Implementation Methods:

Multispectral Imaging with Drones: Deploy drones equipped with multispectral cameras to capture regular images of the farmland. These images help in assessing the health status of crops.

AI-Driven Pest and Disease Prediction: Input the captured image data into an AI-powered prediction model. By combining this data with historical records and real-time monitoring, the system generates timely warning reports.

Customized Control Measures: Offer tailored solutions for pest and disease control, including recommendations on pesticide use and physical prevention methods, to effectively manage and mitigate potential threats.

Scenario 3: Yield Prediction and Sales Planning

Objective: Assist farmers in accurately forecasting yields to optimize sales decisions.

Implementation Methods:

Comprehensive Data Collection: Gather data on crop growth parameters (such as plant height and fruit size), climatic conditions, and historical yield records to build a robust dataset.

Yield Prediction Modeling: Develop a predictive model that analyzes the collected data to forecast crop yields for the upcoming three months. This model provides valuable insights into expected production levels.

Sales Strategy Formulation: Utilize the yield predictions to help farmers develop effective sales plans. This includes determining pricing strategies, selecting appropriate sales channels, and managing inventory levels to maximize profitability and minimize risks.

These scenarios illustrate how the integration of IoT, AI, and big data technologies can transform agricultural practices, leading to more efficient resource management, proactive risk mitigation, and informed business decisions.

To transform the aforementioned data scenarios into profitable products and services, the enterprise can develop the following data products:

Core Product: Smart Agriculture SaaS Platform

Functional Modules:

Planting Recommendation Module: Offers personalized cultivation plans, including sowing times, fertilization schedules, and irrigation strategies.

Farm Calendar Module: Generates daily agricultural task lists based on crop growth cycles and weather forecasts.

Market Trends Module: Provides real-time updates on agricultural product prices, supply and demand dynamics, and policy changes to assist farmers in making more informed decisions.

User Groups:

Small and Medium-Sized Farmers: Accessible through a subscription model, charged annually or quarterly.

Large Agricultural Enterprises: Customized solutions offered on a project basis.

Operational Model: The platform adopts a "freemium" model, allowing users to start with a free trial before upgrading to premium features for a fee.

Value-Added Services: Carbon Emission Calculation and Trading Services

Service Content:

Calculates carbon emissions and sequestration potential based on farmland data.

Assists farmers in applying for carbon rights certification and connects them with carbon trading platforms.

Provides carbon trading consultancy services to help farmers maximize their earnings.

Implementation Details:

Collaborates with third-party certification bodies to ensure the accuracy and compliance of carbon emission data.

Utilizes blockchain technology to record the carbon rights trading process, ensuring transparency and traceability.

Revenue Streams:

Earns a percentage of the service fee from carbon rights transactions.

Charges project-based fees for customized consultancy services.

PRE-RWA (Preparatory Real-World Asset Tokenization): An Innovative Fundraising Solution Based on Domestic Compliance Digital Equity (NFR) Model

Introduced by You Shu Technology, PRE-RWA represents an innovative fundraising scheme that leverages domestic compliance digital equity (NFR) models. Its primary objective is to transform physical or data assets into tradable digital equities through digital means, offering investors diversified income sources. Additionally, the design of PRE-RWA lays the groundwork for future issuances of RWAs (Real World Assets).

Key Features of PRE-RWA:

Diversified Equity Structure: Investors can receive not only cash dividends but also enjoy priority subscription rights, acquisition rights to physical assets, and additional digital IP benefits.

Compliance Assurance: All asset data is recorded on the blockchain, and equity contracts are designed by professional law firms to ensure compliance with national policies and international standards.

Global Integration: Holders of PRE-RWA can seamlessly transition to RWA tokens in the future, participating in global asset allocation.

Operational Process of PRE-RWA

The operational process of PRE-RWA typically consists of the following stages:

Compliance Filing: Collaborate with relevant regulatory authorities to complete the design and filing of the compliance framework for NFR issuance.

Equity Onboarding: Record underlying asset data (such as equipment information, operational data, etc.) on the blockchain to ensure transparency and traceability.

Market Promotion: Introduce the project's value to potential investors through roadshows, summits, and other forms of engagement.

Platform Issuance: Publicly sell NFRs on designated compliant digital asset trading platforms.

Fund Supervision: Escrow raised funds with professional institutions to ensure they are used for their intended purpose.

Equity Realization: Gradually fulfill investors' rights such as dividend distribution and priority subscription rights based on project progress.

Investors can obtain the following types of returns by participating in PRE-RWA:

Product Dividend Rights: Share in the cash flow generated from project operations on a pro-rata basis, such as platform service fees and carbon rights trading income.

RWA Token Appreciation: After PRE-RWA is converted into RWA, investors can gain additional returns through trading on international markets.

Physical Asset Acquisition Rights: At the end of the term, investors can choose to receive certain physical assets (such as IoT devices) for free or continue to hold dividend rights.

Digital IP Additional Benefits: Receive limited-edition digital collectibles (such as smart agriculture NFTs) to enhance the return on investment.

(1) Core Assets of the Case Subject

In the smart agriculture enterprise case, the following assets can serve as the foundation for PRE-RWA:

① IoT Devices: Including hardware such as soil sensors, weather stations, and drones.

② Data Assets: Farmland environmental monitoring data, crop growth data, pest and disease prediction models, etc.

③ Carbon Rights Assets: Carbon rights generated through carbon emission accounting, which hold significant market value.

④ Platform Service Revenue: Service fees and value-added service income from the smart agriculture SaaS platform.

(2) Specific Design Plan for PRE-RWA

a. Equity Structure Design

① Product Dividend Rights: Investors can share in the service fees and carbon trading income of the smart agriculture platform on a pro-rata basis.

② RWA Token Priority Subscription Rights: Holders of NFRs can subscribe to RWA tokens at a preferential price in the future.

③ Physical Asset Acquisition Rights: Upon expiration, investors can choose to receive certain IoT devices (such as soil sensors or weather stations) for free or continue to hold dividend rights.

④ Digital IP Additional Benefits: Receive limited-edition "Smart Agriculture NFT" digital collectibles as an additional perk.

b. Issuance Parameter Settings

Total Issuance Amount: 50 million RMB.

Subscription Threshold: Flexibly set, with a minimum investment of 10,000 RMB.

Lock-up Period: 2 years, after which investors can choose to exit or convert to other asset forms.

c. Issuance Path

Compliance Filing: Collaborate with local government departments and financial regulatory authorities to complete the compliance framework design and filing for NFR issuance. Ensure all asset data complies with domestic laws and regulations.

Equity Onboarding: Record IoT device information, farmland monitoring data, carbon rights assets, and other underlying asset data on the blockchain. Use blockchain technology to ensure data transparency and immutability.

Market Promotion: Host investor summits, inviting institutional investors and high-net-worth clients to participate. Publish detailed product design reports through online channels (such as You Shu's official account and digital court column) to attract retail investors.

Platform Issuance: Publicly sell NFRs on domestic compliant digital asset trading platforms. Provide a convenient subscription process and support multiple payment methods.

Fund Supervision: Manage raised funds through a professional custodian institution, earmarked specifically for IoT device procurement, technology research and development, and operational promotion.

d. Expected Revenue Model

Considering platform service fee income, carbon trading income, and the potential appreciation of future RWA tokens, the estimated annualized rate of return ranges from 15% to 20%.

Detailed Operational Steps for Issuing 50 Million RMB in NFRs by the Smart Agricultural Enterprise

Asset Packaging:

Bundle existing IoT devices (such as 1,000 soil sensors and 50 sets of intelligent irrigation systems) with data assets for the next two years as the underlying assets.

Equity Distribution:

Allocate shares based on the total investment amount, with each 10,000 RMB corresponding to one NFR.

Investors can proportionally enjoy platform service fee income (e.g., 5 million RMB annually) and carbon rights trading income (e.g., 2 million RMB annually).

Market Promotion:

For Institutional Investors: Host offline investor summits to detail the project background, asset value, and expected returns.

For Retail Investors: Publish popular science articles and case analyses through social media and official accounts to lower the cognitive threshold.

Fund Usage:

30 million RMB for purchasing a new generation of IoT devices to expand coverage area.

10 million RMB for technology research and development to optimize data analysis models.

10 million RMB for market promotion to attract more farmers to use the platform.

Equity Realization:

Distribute platform service fee income quarterly to investors.

Allocate carbon rights trading income annually.

After the two-year lock-up period, investors can choose to receive some IoT devices for free or continue to hold dividend rights.

Through the PRE-RWA model, smart agricultural enterprises can not only effectively raise development funds but also provide investors with diversified sources of income. Additionally, the design of PRE-RWA lays a solid foundation for future RWA issuances, aiding enterprises in integrating into the global financial market. This model is particularly suitable for companies with abundant data assets and technological advantages, enabling them to promote the development of green finance while achieving a win-win situation for all parties involved.

After successfully raising funds and completing asset digitization during the PRE-RWA phase, the smart agricultural enterprise can proceed to the RWA (Real World Assets) issuance stage. Below is a more detailed supplement, including preparations for RWA issuance, the process, and specific implementations for global asset allocation.

Before entering the RWA issuance phase, the enterprise needs to complete the following preparatory work:

(1) Asset Selection

Carbon Rights Assets: Apply for carbon rights certification using carbon emission accounting data generated by the smart agriculture platform and include it as part of the underlying assets.

Data Assets: Package high-value data assets such as farmland environmental monitoring data, crop growth data, and pest and disease prediction models to ensure their market attractiveness.

IoT Devices: Incorporate deployed hardware devices such as soil sensors, weather stations, and drones into the underlying assets to enhance the diversity of the asset portfolio.

(2) Data Governance

Data Attestation: Use blockchain technology to record all asset data on the blockchain, ensuring the authenticity and immutability of the data.

International Certification: Collaborate with internationally renowned data governance institutions to obtain certifications such as ISO/IEC 27001 (Information Security Management System) and ISO/IEC 38500 (Data Governance Standard).

Transparent Disclosure: Regularly publish data audit reports to demonstrate asset quality and operational status to potential investors.

(3) Legal Compliance

Equity Contract Design: Have a professional law firm draft RWA equity contracts, clearly defining the following terms:

Revenue Distribution Mechanism: Specify the dividend distribution ratio, frequency, and calculation method.

Exit Mechanism: Clarify how investors can exit or convert to other asset forms.

Rights Protection: Safeguard investors' priority subscription rights and other legitimate rights and interests.

Regulatory Filing: Collaborate with the Hong Kong Securities and Futures Commission (SFC) or other international regulatory bodies to complete the compliance filing for RWA token issuance.

(1) Equity Conversion

After the lock-up period of PRE-RWA ends, holders of NFRs can apply to convert their shares into priority subscription rights for RWA tokens.

The conversion ratio is dynamically adjusted based on the performance during the PRE-RWA phase (such as dividend income and asset appreciation) to ensure fairness and reasonableness.

(2) International Trading Platform

Exchange Selection: List the RWA tokens on international compliant exchanges (such as the Hong Kong Stock Exchange or the Singapore Digital Asset Exchange) to attract more global investors.

Liquidity Support: Introduce a market maker mechanism to ensure the liquidity of RWA tokens in the secondary market.

(3) Hong Kong Dollar Denomination

RWA tokens are denominated in Hong Kong dollars to reduce the impact of exchange rate fluctuations on investors.

The underwriting institution is a licensed entity by the Hong Kong Securities and Futures Commission (SFC), ensuring the professionalism and compliance of the issuance process.

(1) Target Markets

Asian Market: Focus on attracting investors from Mainland China, Hong Kong, Singapore, and other regions, leveraging the advantages of regional green finance policies.

European and American Markets: Promote RWA tokens through international exchanges to attract overseas investors interested in sustainable development.

(2) Investment Appeal

Long-Term Growth Dividends: Investors can share in the long-term growth benefits of the smart agriculture platform by holding RWA tokens, including platform service fee income, carbon rights trading income, and data asset appreciation.

Diversified Portfolio: RWA tokens cover a variety of asset classes, including carbon rights, data assets, and IoT devices, providing investors with a diversified investment portfolio.

(3) Value-Added Services

Carbon Neutrality Certification: Assist investors in participating in global carbon neutrality programs, enhancing their sense of social responsibility.

Technical Support: Provide technical consulting services for the smart agriculture platform to help investors better understand asset value.

Through RWA issuance, the smart agricultural enterprise not only achieves global fundraising but also further enhances the liquidity and market recognition of its assets. This model provides investors with opportunities to participate in green finance while creating conditions for the enterprise to expand into international markets. In the future, as the RWA market continues to develop, the smart agricultural enterprise is expected to become an industry benchmark, elevating agricultural digitization and sustainable development to new heights.