RiceGuard Sentinel is a solar-powered field station that continuously reads a rice field and sends what it measures to farmer-facing and operational systems. Five Generation 3 poles are installed in a working paddy at Ranot, Songkhla. A twelve-province research programme is evaluating what the system changes for water use, fertiliser efficiency and yield.
Operational status, research coverage and documented engineering evidence.
RiceGuard Sentinel brings soil, water, weather and crop observations together so that a growing season can be read as a continuous record rather than remembered as a series of impressions.
A permanently buried probe measures soil moisture, temperature, electrical conductivity, pH, nitrogen, phosphorus and potassium at root depth. Each reading is timestamped so the condition of the plot can be followed through the season.
Explore the measurement→The Sentinel measures field water level directly and places it beside rainfall, air temperature, humidity, illuminance and wind measured at the same plot. The result is local field information, not a forecast for the nearest town.
Explore the measurement→Nutrient readings gain meaning when interpreted against the rice variety and the stage the crop has reached. RiceGuard connects field measurements with variety-specific schedules and crop-stage knowledge.
Explore the measurement→Timed camera captures support growth-stage classification and pest-detection work. An infrared insect counter records activity between captures so changes can be followed over time.
Explore the measurement→Each layer has a distinct job. Local acquisition and inference continue at the pole, resilient transport moves different payloads appropriately, and the wider platform places every reading in the context of the crop.
See how the technology works→Field→ Edge AI→ Cloud→ Farmer
Follow the system in sequence, from field inputs to the Digital Twin Simulator used for engineering validation.
Five Generation 3 Sentinel poles stand in a real rice field at Ranot, Songkhla. The installation has been documented from foundation and erection to cabinet wiring and first reading.
Acidic soil, flooding, seasonal rain and afternoon shade from coconut palms exposed the equipment to the conditions that shaped the next design generation.
Acidic soil· Flooding· Seasonal rain· Shade
Explore the Ranot field trial→Every Sentinel plot is paired with a control plot farmed in the traditional way. The comparison runs through wet- and dry-season crops, and sensor readings are checked against laboratory measurement.
RiceGuard Sentinel is developed by Mobile AI Co., Ltd. Requirements, design, code and test evidence are documented, with deployment status recorded by subsystem rather than described as one general claim.
Water use, fertiliser efficiency and yield are research outcomes to be evaluated—not completed claims. Rice-specific interpretation connects measurements to variety, crop stage, regional calendars and pest knowledge.
Read the research foundationExplore the complete architecture or speak with the RiceGuard team about the next step.