Built on Validated Field Diagnostics
ABC Circle has commercialized and supplied 24 plant disease diagnostic kits, among the broadest lineups in Korea.
- 24 types
- Diagnostic Kits
- 10 min
- Diagnosis Time
- 95%
- Diagnostic Accuracy
BUSINESS & PRODUCT INFORMATION
Business & Products
DATA PLATFORM
Data Platform
Turning Field Diagnosis into Data,
and Data into the Next Response
A smartphone AI app quantifies rapid test-kit results and connects them to treatment guidance, disease surveillance, and farm history data. Accumulated diagnostic histories provide a foundation for proactive response and agricultural asset management.
- Diagnostic Foundation
- AI Diagnostic App and Data Platform
- Data Connection
- TerraLog Integrated Data System
Connecting Diagnostic Results to Surveillance Data and Farmland Value
- STEP 01
Precision AI Kit Diagnosis
Use a rapid test kit (RTK) in a suspected area, then analyze T-band intensity with the smartphone AI app to identify disease progression.
- STEP 02
Tailored Guidance and Reports
Provide crop-protection materials and response guidance suited to the diagnostic result.
- STEP 03
Disease Surveillance Data
Analyze regional disease trends and support response systems for emerging diseases and pests.
- STEP 04
Farmland History and Rating
Use accumulated diagnostic data to manage and classify the history of orchards, fields, and other farmland.
- STEP 05
Value Assessment Indicators
Turn disease history into indicators that can support objective assessments for farmland transactions and leases.
- STEP 06
Integrated Data and Commercialization
Extend surveillance and response into a data-driven cycle that connects farming activity with economic value and database services.
Turning Disease and Pest Diagnosis into Data with AI
DATA APP CONCEPT
- 01Capture Test-Kit Result
- 02Run AI Quantitative Analysis
- 03Connect Report and Guidance
Validated Diagnosis and Structured Data
Instead of relying on crop photos alone, AI reads and quantifies images from rapid test kits used in the field to support disease classification, progression assessment, and treatment decisions.
Precision RTK Diagnosis
Use rapid diagnostic test kits to identify plant diseases and pests with precision.
Deep-Learning Analysis
AI reads rapid test-kit images captured in the mobile app, reducing visual interpretation error and generating quantitative data.
Quantitative T-Band Analysis
Model the relationship between T-band pixel intensity and disease progression, including through nonlinear regression, to produce numerical readings.
Automated Disease Classification
Use a CNN-based image classification model to identify disease types automatically.
Integrated Farm History
Record and manage crop, timing, treatment, and other farm history data in one place.
Tailored Guidance
Analyze historical and environmental data together to provide tailored guidance.
Extending Validated Diagnostics into Data Value
More Time for Early Response
From Reactive Response to Proactive Management
Detect subtle vegetation changes and diseases or pests during latent stages to move response timing forward.
Farmland Health Ratings
Creating Value from Farm Data
Connect accumulated surveillance and diagnostic histories to farmland health ratings and potentially extend them to transaction, lease, and insurance assessments.
Accuracy-Based Decisions
More Efficient Farm and Crop-Protection Management
Precision readings help reduce incorrect applications, unnecessary costs, and resistance risks while supporting more efficient farm and public crop-protection budgets.
AI-POWERED PRECISION ORCHARD DIAGNOSIS AND FARMLAND RATING PLATFORM
TerraLog
An intelligent farm management system that combines wide-area drone screening with rapid precision readings from on-site diagnostic kits, supporting proactive responses to emerging diseases and pests intensified by climate change.
Four Pillars of the Integrated System
Drone-Based Screening
Field monitoring of crops with drones
On-Site Diagnosis Platform
Precision field assessment using diagnostic kits
AI-Powered Precision Diagnosis
Connecting AI analysis to tailored guidance
Data Collection and Monitoring
Proactive data monitoring and history accumulation
TerraLog Development Roadmap
STEP 01Collect Drone Data
STEP 02Detect Anomalous Areas
STEP 03Run On-Site Kit Diagnosis
STEP 04Analyze Intensity and Generate Guidance
STEP 05Accumulate Data
STEP 06Provide Forecasting and Farm Asset Services