Autonomous drones for the planet.

In order to predict the weather, data needs to be collected and processed continuously, e.g. Humidity, Pressure, Temperature, and Windspeed. Currently, there is barely any data in planetary boundary layer (0 - 2 km in the air). Fixed-wing drones with sensors can be used to fly here and close the data gap.
Better weather predictions can be used for more efficient wind farms, safer airports, etc. Currently Syfly is in last stages of a technical demonstration for KNMI.

Current agricultural methods are unsustainable. Large-scale monoculture farming depletes the soil, requiring artificial fertilizer to grow food continuously. A possible solution is farming in fruit forests with high biodiversity. The challenge is that the food that is grown here is difficult to harvest. Drones could be a solution to this since they’re highly dynamic and mobile. Fruits can be picked autonomously using a quadcopter with image recognition. Currently, Syfly is in the feasibility study phase.




