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 disease prediction models with real time micro climate information, thus facilitating better yields and crops quality.

alertNET SR

alertNET enables farmers to always be one step ahead the pest and disease appearance.

Combining advance prediction models with micro-climate information in real time (air temperature, air humidity, leaf wetness and precipitation), alertNET defines the ideal time to use pesticides and what type of pesticides should be used in order to increase the yields and quality of the crops.

 


 

 

Field measurement

Portable and energy independent devices providing real-time air temperature, air humidity, leaf wetness and precipitation measurements are involved in alertNET service. Cloud based infrastructure enables data storage, analytics retrieval and visualization.

 

Advance algorithm and outcome

Forecasting temperature and rainfall has an important role in defining the exact time of irrigation thus preventing irrigation at times when rain is expected as well as delay when the temperature is high.

 

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

SR Benefits of using alertNET:

  • Efficient planning of pests and disease control activities
  • Reducing costs for pest and disease management
  • Reducing pesticide usage
  • Increasing quality of the crops
  • Reducing yield losses
  • Decreasing the negative impact on environment