Arable crops/vegetables

By combining built-in prediction models with environmental data, information on pests and disease appearances is created according to their life cycle and plant growing period. Recommendations on when and what type of pesticide to use are provided.

Measurements visualization from installed weather stations (air temperature, air humidity, precipitation, wind speed and wind direction, solar radiation…).

Smart pheromone traps are used to monitor insect activities. Traps are equipped with camera that takes images of caught insects. Images are automatically processed.

Advanced algorithms count the number of caught insects thus providing insight into population dynamics.

By combining specific crop water requirements, with the soil type characteristics, measured soil moisture, forecast precipitation and temperature, irrigation recipe is created to provide instructions for the optimum time to irrigate as well as the amount of water to be used.

Real time monitoring of soil moisture, soil temperature and soil salinity on different depths providing insight into soil conditions for crop growing.

Gives the tentative amount of used water according to the daily evapotranspiration and plants’ coefficients.

Measuring wet and dry air temperature to predict frost appearing.

Early warning when conditions for frost appearing are fulfilled taking into account plant sensitivity during different phenopases.

Satellite images and different vegetation indices are used to provide information about crop vitality, homogeneity/heterogeneity of crop development over the field, field zones with different chlorophyll/nitrogen and water content, soil moisture zones etc.

Creating customized maps for soil sampling based on different vegetation indices for preparing variable fertilization maps.

Monitoring machinery activities thus having insight into quality of taken activities and additionally fuel consumption, driving style, working hours, etc.

Real time insights into whereabouts and activities of the machinery enables more efficient planning of their usage.

Simple and easy recording of all activities during agricultural production thus providing traceability during the production process and better insight into indicators of successful production.

Reports are created to provide complete overview of all activities and costs, possibility for comparing different vegetation periods and better planning upcoming seasons.