The tools for
making the right
Ultra-local data for custom-tailored farming solutions
Our FieldMate sensor measures relevant data where it counts most: ultra-locally, directly between the plants. This means that they keep track of everything you need to know about your crops, such as temperatures, humidity and soil climate. Additionally, they provide you with an ultra-local weather forecast, custom-tailored to the actual location of your field.
The differences between
ultra-local and non-field measurements
Moving closer to come further
Having a global overview is always handy. But when it comes to protecting your plants from diseases, moving closer actually means coming further. At SmartFarm, we know that diseases develop in the micro-climate between plants. This is why our sensors gather their data exactly at the spot where it matters most – right between the crops. These measurements of the crop climate do not only differ greatly from the data gathered conventionally on a regional scale from weather stations. Its exact and unbiased collection on the ultra-local level is what allows us to provide the exact information needed for making the right decisions.
Details make the difference
Only by moving closer, we can see what is really happening. To understand the growth of the crop and the development of diseases, it is crucial to get a grasp of the actual temperature of the plants. Yet, conventional measurements capture only the general field temperature. This temperature is based on the data of weather stations and does not account for major influence factors changing the crop temperature, such as solar radiation, evapotranspiration, crop coverage and the soil moisture status. This results in a distinct difference of up to 5°C when compared to our accurate measurements of the crop temperature. This is 5°C of being more accurate, 5°C of taking the optimal measures and 5°C of leading the way to the most efficient, sustainable and profitable decisions.
Precision for prevention
Only by getting an exact picture, we can make accurate predictions about possible diseases. With our measurements being taken ultra-locally, we can factor for one of the most crucial influences on to the development of diseases: The relative humidity of the plants. Relative humidity is caused by factors such as temperature, dew point, wind, leaf wetness and evaporation. Our sensors account for the fact that the leaves of the crop remain wet for much longer than the field itself and therefore draw a more accurate picture of the actual relative humidity of the plants. Only with accurate data like this, we are able to provide you with the relevant information to make the right decisions of when to best protect you crop.
Protect your crop and respond
to weather conditions on time
– Temperature (°C) – resolution 0.1 – accuracy 0.5 °C (in range from -10 °C to +85 °C)
– Relative humidity (%) – resolution 0.1 – accuracy 2% (in range from 0-100%)
Measure interval: 15 minutes
Data transmision interval: 30 minutes
Network technologies on-board: NB-IoT, CAT-M and 2G
Installation and status
Installing the grey part to put the FieldMate on.
Removing the grey part to put the FieldMate off.
• Vertical active mode
• 5% angle error mode
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