Be one step ahead of the pest and disease appearance!
By combining built-in prediction models with environmental data, the information on pests and disease appearance is created according to their life cycle and plant growing period. Accordingly, the recommendation on when and what type of pesticide to use is provided.
Prediction models available for main pest and diseases in fruit production (grape, apple, peach, cherry, stone fruits), arable crops and vegetables ( potato, onion, tomato, sugar beet….) and the process of adding new models is never ending.
Devices required: weather station for measuring environmental conditions (air temperature and humidity, leaf wetness and precipitation).
Smart pheromone traps and advanced analytics for optimized insecticide usage
Monitoring insects’ activities using smart pheromone traps with embedded camera that takes images of captured insects. Images are automatically processed, and insect are count.
Devices required: smart pheromone traps equipped with cameras and pheromone strips
combining real-time field measurements with crop-specific advanced analytics methods to optimize irrigation
Specific water requirements for different crops during a growth period are used to define the exact amount of water that should be available to the crops at a given time. Combining specific crop water requirements with the soil type characteristics, measured soil moisture and forecasted precipitation and temperature to provide instruction of optimum irrigation time and the amount of water that should be used.
Devices required: device equipped with soil moisture sensors and optionally, sensors for monitoring soil temperature and electric conductivity.
SATELLITE BASED FIELDS MONITORING
For increasing the accuracy of observation and creating variable fertilization maps
Satellite images and different indices are used to provide information about crop vitality, heterogeneity of crop development over the field, field zones with different chlorophyll/nitrogen and water content in crops, soil moisture zones etc.