Fusarium spp. infection in cereals leads to yields and quality losses and can also result in mycotoxin contamination. These toxins are harmful to human and animal health. From a sustainability perspective, the use of fungicides in under pressure. Fungicides should therefore only be applied in a very targeted manner, i.e. locally in the field and only if it is really necessary.
The aim of the current project is to develop a Decision Support System (DSS) that supports the grain growers in the decision making about the fungicides application only at where the grain is affected. The DSS consists of the use of hyperspectral cameras that hang under drones. The growers fly over the field with the drones. Camera images are combined with existing mycotoxin prediction models. The data is processed by algorithms into information for the grower to help them to decide where to apply fungicide locally in the field. If possible, other cereal diseases are also determined, in addition to Fusarium spp.
The project will therefore reduce the use of fungicides, improve sustainability and improve the grain yield, quality and safety.
|Effective start/end date||1/01/18 → 31/12/21|