alertNET

Pest and disease
prediction

OPTIMIZED PESTICIDE USAGE

AND BETTER CROP QUALITY USING

DIGITIZED PREDICTION MODELS

Pest and disease prediction module provides easy to follow instructions and recommendations on when and what type of pesticides to use by combining advanced pest and disease prediction models with real time micro climate information, thus facilitating better yields and crops quality.

Pest and disease prediction enables farmers to always be one step ahead of the pest and disease appearance.

Field measurement

Micro – climate monitoring device enable real time monitoring of relevant environmental parameters (air temperature, air humidity, leaf wetness, precipitation etc.). Cloud based infrastructure enables data collection, storage, access to 3rd party data and application – specific data analytic.

 

Digitized prediction models

Built-in prediction models provide information on pests and disease appearance according to their life cycle and plant growing period.
Combining those models with environmental measurements, data analytics generates information on how to react in order to avoid insect overpopulation or spreading of diseases.

 

Notification

Information about when and what type of activities to undertake, as well as the most suitable pesticides to use is created.

Prediction models available for: grape, apple, cherries, peach, potato, sugar beet, onion, tomato, carrot….

Benefits:

  • Efficient pest and disease control planning
  • Reduced costs for pest and disease management
  • Reduced pesticide usage
  • Increased crop quality
  • Reduced yield losses
  • Decreased negative impact on the environment