8. Core Success Factors

1. SFaaS (Smart Farm as a Service)

The key to the success of smart farming lies in plant growth data collection and automation. DSF Foundation applies hardware (H/W), information and communication technology (ICT), and tracking and tracing systems using blockchain technology throughout the entire process, from the farm to the fork, in the AgTech industry, rather than simply operating a basic smart farm and introducing software (S/W) technology.

2. Data Collection: Efficient Image and Environmental Data Collection and Establishment

Data collection and automation processes include gathering crop basic information (crop name, variety name, growth information), capture information (shooting distance, weather, resolution, ISO, white balance), cultivation environment information, internal environment (internal temperature, internal humidity, internal CO2, solar radiation, illumination), substrate environment (nutrient solution temperature, electrical conductivity, PH), growth information (germination, leaf count, leaf width, leaf length, branching, leaf disease length, leaf shape index, fruit weight, SPAD, growth stage, etc.), and more, all through automated data collection and processing for the optimal fully automated artificial intelligence smart farm.

3. Data Processing: Utilizing Various Artificial Intelligence Techniques for Plant Growth Data Storage, Analysis, Processing, and Learning

Building a database of growth stages, cultivation environments, and cultivation know-how

Using plant cultivation equipment, cameras, sensors, controllers to learn environmental characteristics such as the appearance of crops, temperature, humidity, carbon dioxide, illumination, fine dust, PH, etc. and continuously improving the completeness of agricultural products and technology by collecting thousands to tens of thousands of images and comparing them with actual crops.

Learning images of agricultural products and, of course, images of pests that harm crops or images related to plants, allows for the identification of disease and pest infestations. It also enables distinguishing between crops and pests, making crop management easy without the need for manual verification.

4. Full Automation: Real-time Analysis of Growth Information, Harvest Timing, and Health Status for Automated Environmental Control and Monitoring

Automatic assessment of rainfall, temperature, and soil components for cultivation land by farm, agricultural work orders, smart farming logs, disease and pest identification, and prescription systems tailored to each farm, Enhancement of agricultural product storage, processing, and distribution services

5. Retail Tech

Based on data learned by artificial intelligence, which replaces crop experts, it enables automatic control of the crop cultivation environment at each growth stage in smart farms.

Provides AI-based cultivation guidelines that even beginners can easily follow for crop cultivation and management.

6. Food Traceability Rule Compliance

The 'Food Traceability Rule' is introduced by the US FDA to enhance the distribution and management of fresh foods such as vegetables. It aims to quickly and effectively identify the origin and movement path of contaminated foods to prevent and mitigate foodborne diseases, resolving health and death threats, and minimizing the damage to distribution companies caused by excessive recalls.

It specifies additional record-keeping requirements for certain foods (FTL, Food Traceability List) manufacturers, processors, packers, and storers. Companies involved in manufacturing, processing, packaging, or storing foods included in FTL must manage key data elements (KDE) such as lot numbers and harvest locations at critical tracking events (CTE) and transmit the necessary KDE to the next food recipient in the distribution chain. All records are recorded on the distributed ledger.

7. BLT-Based Distribution Management and Tracking System

The distribution management and tracking system based on distributed ledger technology tracks, manages, and supervises all transactions from cultivation to germination, growth, harvest, distribution, and consumption, ensuring a high-quality safe agricultural and food supply system. By using distributed ledger technology to manage quality in real-time from cultivation to final consumer consumption, it minimizes nutrient loss and product impact due to internal and external environmental issues, meeting the societal demand for high-quality safe agricultural and food products and enhancing corporate image.

It allows real-time verification of information related to products such as origin, manufacturing, and distribution processes. Therefore, in case of problems during the distribution process, you can immediately identify the timing and location of the problem and take strong measures such as additional inspections or recalls.