Integrated hardware, software and agricultural AI
ADDFARM combines field-ready sensing hardware, intuitive farm software and AI services. Growers can monitor and record farm conditions and use accumulated data to support faster, more consistent cultivation decisions.
Field-ready hardware designed for agricultural environments
A protected control enclosure designed for humid and demanding farm environments, with a structure that simplifies installation, inspection and maintenance.
Temperature, humidity and soil conditions can vary within the same greenhouse. ADDFARM plans sensor placement around facility structure and crop characteristics to improve visibility into those differences.
Support multiple sensor configurations for key crop-growth variables, including air temperature and humidity, soil moisture, nutrients and pH.
Manage farm data through an intuitive interface
View sensor measurements through an intuitive dashboard on mobile and PC, giving growers quick access to the information needed for daily operational decisions.
Review wholesale prices by crop and market and use regional price movements as supporting information for sales decisions.
Generate farm-specific reports from accumulated operational data, combining environmental changes, work records and key metrics.
Track harvested crops and farm supplies through receiving, outbound records, search and inventory alerts.
Alerts help growers recognize changes and abnormal conditions early and avoid missing important operational timing.
AI services that make agricultural data easier to understand and use
An AI diagnostic service that analyzes crop images for suspected disease or pest symptoms and supports earlier field response. Current support focuses on pepper and strawberry.
| Development | AI analysis from uploaded images or video |
|---|---|
| How to use | Upload crop images or video to receive AI-assisted analysis |
| AI model | ADDFARM models integrated with external models |
| ADDFARM information | Early identification of suspected crop issues and response support |
A conversational agricultural AI assistant that answers farming questions and helps users find relevant information in an accessible format.
| Development | Conversational farm assistance and agricultural dataset development |
|---|---|
| How to use | Ask agricultural questions in chat format |
| AI model | OpenAI-based integration |
| Roadmap | Expand agricultural datasets and integration with ADDFARM services |
An AI agent designed to analyze farm data, schedules, inventory, market prices and agricultural news together to support farm operations beyond simple Q&A.
| Development | Analysis and report generation based on ADDFARM data |
|---|---|
| How to use | Enter a request to generate an analysis report or assist with operational tasks |
| AI model | OpenAI-based integration |
| Roadmap | Expand natural-language control across ADDFARM services |
Packages tailored to farm scale and requirements
Field-validated potential of data-driven farming in strawberry greenhouses
Even a few additional harvest days can materially affect farm revenue. In a pilot-farm interview, harvest duration differed from late April–early May to mid–late May depending on management conditions, corresponding to a reported revenue gap of KRW 20–25 million per greenhouse.
ADDFARM helps growers record and compare farm conditions so they can recognize changes and act at the right time, combining field experience with accumulated data.
Figures are based on a pilot-farm interview and may vary by farm environment and cultivation conditions.
Learn moreUse farm environment data to identify management points and support faster, more consistent decisions.
Request a consultation