
Sensors aren’t about measuring everything everywhere – they’re about measuring in the right places, where uncertainty costs the most. A soilmoisture sensor on sandy soil can prevent unnecessary irrigation trips; a local weather station can give more reliable spraying windows than regional forecasts. In Agdir, sensor data is connected to weather, satellite, and tasks– so that readings turn into practical field-level recommendations, not just data to ponder.
Agdir gathers data from soil moisture, temperature, and weather sensors and combines it with forecasts and satellite imagery. The result isn’t just “soil moisture is 23%,” but “start irrigation on field A, wait with field B until the weather window improves.” Sensor data becomes decision support, not just monitoring.
Soil moisture sensors provide high value where the water balance iscritical and the margin for error is small.
Vegetables, berries, and other high-cost crops quickly repay theinvestment in sensors.
Fields prone to frost or wind benefit from local temperature andwind readings.
Hilly landscapes with ridges and hollows get better irrigation andfertilization advice from strategically placed sensors.
Soil moisture sensors
Soil moisture + weather + ET = irrigation plan
Moisture levels combine with temperature sums and forecasts to calculate irrigation needs. Recommendations account for upcoming rain and evaporation intensity.
Temperature + satellite = frost warning
Local temperature sensors are compared with satellite biomass maps to prioritize frost protection where damage risk is highest.
Weather station + tasks = local work windows
Local wind and humidity data adjust spraying and fertilization timing based on actual on-farm conditions.
A soil moisture sensor shows decreasing values. Combined with highET forecasts, Agdir recommends short, frequent irrigation at night or evening when evaporation is lowest.
A temperature sensor detects falling night temperatures. The system alerts at 2°C and recommends frost protection for vulnerable fields.
A weather station shows calmer wind than regional forecasts. Agdir moves the spraying task to a safer local time window.
1. Start selectively – One soil moisture sensor where water stress costs the most (sandy soil, high-value crop).
2. Evaluate and learn – Track the link between sensor data, forecasts, and plant response over one season.
3. Expand gradually – Add sensors where experience shows the greatest value – not everywhere.
4. Integrate with routines – Let sensor data influence daily tasks and priorities.
How many sensors do we need? Start with one where the margin is greatest. Expand based on experience and proven value.
How long do sensors last? Quality sensors typically last 3–5 years with proper maintenance.
Do we need internet everywhere? No, many sensors can store data and sync when connected.
Are sensors expensive to run? Modern sensors use little power and require minimal service.
Sensors deliver value when placed strategically and connected with other data. Start selectively where it matters most, combine readings with weather forecasts, and let Agdir turn measurements into actionable recommendations.
Consider a soil moisture sensor for sandy soil or a weather station for local work windows – and see how data turns into safer, more precise decisions.