Field data collection
Continuously collect air temperature and humidity, soil conditions and nutrient data directly from the farm.
AGRICULTURAL INTELLIGENCE
ADDFARM is a smart agriculture AIoT company that collects greenhouse air, soil and nutrient data in real time and turns it into AI analysis, alerts and reports that support better farm decisions.
ABOUT ADDFARM
What farms need is not more numbers, but a clear basis for deciding what to do next.
ADDFARM connects field sensors, a real-time data platform and agricultural AI into one operating flow. Growers can monitor changes remotely and complement experience-based decisions with reliable farm data.
About ADDFARM↗CORE CAPABILITIES
From measurement to decision-making, ADDFARM connects its core technologies into one farm operating experience.
Continuously collect air temperature and humidity, soil conditions and nutrient data directly from the farm.
Use Wi-Fi and LoRa according to field conditions to improve continuity and reliability of farm data.
Compare current conditions, historical changes and threshold deviations in a single dashboard.
Analyze farm data and external information to deliver alerts, guidance, diagnostics and reports.
FIELD HARDWARE
02 / HARDWARE
Built for farms where power and connectivity are not always consistent, with a focus on sensor expandability, stable data collection and maintainability.
ADDVIEW PLATFORM
From real-time conditions to schedules, inventory, records and alerts, ADDVIEW does more than display farm information. It connects data to the next operational action.
01 / MONITORING
02 / MARKET
03 / REPORT
04 / INVENTORY
05 / ALERT
AGRICULTURAL AI
ADDFARM AI services are designed as one connected system that links questions, diagnostics, analysis and operational actions.
IMAGE DIAGNOSIS

AGRICULTURAL ASSISTANT

INSIGHT REPORT

OPERATION AGENT

ADDFARM CONTENT PLATFORM
HANDAM is a free publishing platform where AI-assisted creators can serialize web novels and webtoons, disclose AI use transparently and grow their work through reader feedback.
Read free web novels and webtoons and support the stories you want to see continue.
ONE CONNECTED SYSTEM
FIELD CASE
Based on interviews and field data from a strawberry pilot farm in Sugok, Jinju, we summarized the potential revenue gap associated with management quality and the length of the harvest period.
JINJU / SUGOK / STRAWBERRY FARM
Depending on management quality and harvest duration
Potential revenue gap per greenhouse in the pilot case
Monitor air and soil conditions remotely to reduce the burden of repeated field inspections.
Compare environmental changes with work records to understand differences in crop growth and harvest duration.
Support important revenue-related decisions with data without replacing growers’ experience.
Figures are based on a pilot-farm interview case and may vary depending on farm environment, crop condition and cultivation practices.
View All Case Studies↗START WITH ADDFARM
Tell us about your facility and the data you need to measure. We will review a deployment approach suited to your field conditions.
1205 Geumgwan-daero, Gimhae-si
2F, 202-200, Gyeongsangnam-do, Republic of Korea