PEST AND DISEASE PREDICTION
Optimized pesticide usage and better crop quality using digitized prediction models
Recommendations on disease controlling
Environmental conditions monitoring
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, air humidity, leaf wetness, precipitation, optionally wind speed and wind direction, solar radiation ).
Smart pheromone traps and advanced analytics for optimized insecticide usage
Monitoring insects’ activities
Automatically counting the number of caught insects
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.