Rapeseed / Canola disease models

Climate is changing and farmers have to spray less due to economic and legislative reasons. Some diseases are difficult to control and the timing of fungicide application is crucial in keeping them under control.

At Pessl Instruments, we developed disease model algorithms based on environmental parameters collected from growers’ cloud-connected weather stations linked to the biology and the life cycle of over 80 different diseases to predict their development and progression in more than 45 different crops.

How do they work?

All the disease models are based on the latest research work from different scientists and measured with highly accurate sensors. METOS® weather stations, equipped with sensors for rain, relative humidity, leaf wetness, solar radiation, soil parameters and temperature, connected to our disease model subscription, determine risky periods for an infection in the field on an hourly basis. With this information, fungicide applications can be optimally timed.

Rapeseed / Canola disease models

The most important oil seed crop of the cool climate regions is affected by two very destructive diseases and three economic important pest insects. Rape seed growing has gained more and more importance in Northern Europe and in Northern America. Due to the growing market of biofuels it will gain more importance in South America and in parts of Asia too. New varieties have increased the yield potential dramatically. To keep these yields economically worthwhile plant protection strategies will gain more importance. FieldClimate.Com is supporting these strategies with disease and pest models for: Sklerotina sclerotina, Phoma lingam and Pollen Beetle (Meligethes aeneus).

• SCLEROTINIA ROT – S. sclerotiorum
• BLACK LEG DISEASE – Phoma lingam
• POLLEN BEETLE – Meligethes spp.