FieldMate, wireless soil and crop sensor
The FieldMate soil and crop sensor has been tested and developed in collaboration with leading agro-meteorologists.
The FieldMate is practical and smart. The unique design is robust and accurate measures the data needed to monitor your crop.
moisture, wind and irradiation
The FieldMate provides the following data:
|Crop climate at 25 cm||Temperature °C & RH|
|Ambient climate at 75 cm||Temperature °C & RH|
|Soil temperature at 5 and 20 cm||Temperature °C|
|Battery||Lithium, 3.6V, 17000mAh|
|Battery lifetime||Up to 5 years**|
|Replaceability||Battery not replaceable|
|0,1 / 1.0|
|Temperature accuracy||± 0,5%|
|Long term drift||>1% RH/year (normal conditions)*|
External data sources based on GPS location
|Precipitation indication in mm||Rain radar data (3hr/ 1km²)|
|Wind direction and speed||National weather station network (m/s)|
|Sun irradiation W/m²||Meteo Satellite (15 min /3km²)|
|Leaf wet||Wet/dry, hourly|
* Long-term exposure to conditions outside normal humidity range (20-80% RH) and prolonged exposure to extreme conditions may accelerate aging
** Battery lifetime depens on mode, location, operation temperature and frequency of measurements and transmissions. Standard configuration givese a liftetime of 4-5 years (estimated based on test and simulations)
Price, guarantee, and duration
The FieldMate works wireless on the Sigfox network with coverage in the Netherlands, Belgium, France and Germany. The sensor can easily be placed on the plot and the data is sent automatically. The FieldMate is very energy efficient and the battery lasts for a minimum of 5 years.
Measuring alone is not enough. We also provide you with information on how to better protect your crop. For only 107 euro per year, you can choose between the following modules:
"You cannot change the weather, but you can change how you deal with it"
Because of its simplicity and affordability, the FieldMate is something for everybody. This soil and crop sensor will implement a major improvement in agriculture business. Because you receive the measurements for your own plots specifically, the data is very reliable and thus disease risk predictions are a lot more accurate. This ensures considerable savings and optimization of revenue.