Smart Farming

Sensors for early disease symptom detection in European fruit growing

Research News / August 03, 2020

The apple is the Germans’ favorite fruit. Pears rank sixth in annual per capita consumption. Yet apple and pear trees both frequently suffer from diseases: Apple proliferation and pear decline are widespread in European fruit growing. Fraunhofer research scientists, together with partners, are seeking ways to detect disease symptoms early. They are using satellite images and hyperspectral analysis to detect disease infestation from the air in order to replace time-consuming field assessments and laboratory analyses in the future. Machine learning methods are a key technology for the analysis of disease symptoms.