Droptima

Droptima is a field irrigation assistant that automatically calculates daily water requirements for each crop by combining local weather data (temperature, wind, sunshine) with your inputs such as recent precipitation, sowing dates and irrigation system parameters. Every morning the app delivers a precise recommendation on how much water to apply today and can accept tensiometer readings to refine calculations where soil moisture sensors are used. Farmers and agronomists will value data-driven guidance for crops grown under mulch film or underground drip lines, where visual assessment of soil moisture is often unreliable.

Key Features

⭐ Droptima calculates daily irrigation rates automatically using weather and your field inputs.

⭐ Integrates temperature, wind and sunshine forecasts to adjust recommendations.

⭐ Accepts manual precipitation records, sowing dates and irrigation-system parameters for tailored outputs.

⭐ Supports tensiometer readings to refine soil moisture estimates and reduce guesswork.

⭐ Provides morning alerts with exact daily water volumes to apply.

Advantages

✅ Reduces the risk of over- or under-watering through precise, data-driven calculations.

✅ Saves water and time by targeting irrigation to actual crop needs.

✅ Droptima improves decision-making for crops grown under mulch film or with subsurface drip systems.

✅ Simple input interface lets growers combine sensor data and local observations for accurate results.

Disadvantages

❎ Accuracy depends on correct user inputs and the availability of local weather data.

❎ Best results require tensiometer readings or regular field monitoring to validate recommendations.

❎ The app provides irrigation guidance but does not replace on-site agronomic assessment for complex soil or pest issues.

Market Performance

Droptima has been tested and verified on hundreds of irrigated fields across Ukraine, Moldova, Kazakhstan, Uzbekistan, Georgia and Azerbaijan, helping eliminate mistakes with watering and improving irrigation planning where soil condition cannot be assessed visually.