Agricolus, with the support of its subsidiary Aedit (a spin-off of the University of Pisa Sant’Anna), has been committed for ten years in research and development of predictive models and DSS for agriculture. The team of expert agronomists constantly studies the needs of crops and validates these models with field observations and customer support.
Currently available within the Agricolus platform are predictive models for irrigation and phenology for 130 crops and specific defense models for the following crops:
Grapevine: ripening, frost, downy mildew, botrytis, codling moth
Olive: development and mortality of olive fly
Corn: yellow nottua, corn rootworm, corn borer
Tobacco: downy mildew, yellow moth
All models are based on meteorological information from field stations and can be adapted to situations through the inclusion of particular crop operations or phenological observations.