Arif Behiç TEKİN, Marco FORNALE

The development of a low cost UAV-based image acquisition system and the procedure for capturing data in precision agriculture

: Remote sensing is a method of monitoring the natural heterogeneity of vegetation. Although satellite based remote sensing hasbeen a popular method for monitoring the earth’s surface, it has several drawbacks, such as the orbital period, unattended capture, andinvestment cost. On the other hand, an unmanned air vehicle (UAV) is more flexible in terms of deployment, monitoring a small area,and being easy to obtain at a low cost. From this point of view, the goal of this research was to develop a low cost and easy to implementtechnical solution for mapping spatial heterogeneity and research its relationship with plant conditions. The intention was to developa cycling process starting with a UAV-based image-capturing tool for an easy and reasonable production of a normalized differencevegetation index (NDVI) and the resulting prescription maps, especially of vineyards. The main parts of this image acquisition systemwere the UAV and modified digital cameras purchased from the store. Two different fixed-winged UAVs were built for this study basedon commercial airplane models and used open source autopilot. Two small digital cameras (Nikon and Canon) were tested for capturingthe images. These were modified to capture electromagnetic energy ranging from 380 nm to 1100 nm. Camera calibration tests wereconducted and a UAV-based image acquisition system was successfully developed. In the next step, future field tests will be conductedto assess the practical usage of running the cycling process.

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