Most of the farmers inspect the state of their agricultural fields manually, which is not only an intensive and time consuming but also subjective task. This can be improved by taking pictures of the fields from the air. An Smart Civil Drone (or Unmanned Aerial Vehicle) with a computer on board can be used to take these pictures and automatically inspect the field using a hyperspectral or a multispectral camera (a camera which records more than the conventional three –red, green and blue- bands of the spectrum, in order to provide more information).
The goal is to detect potato plant anomalies and diseases from the images taken by an unmanned aerial vehicle. This consist of stitching, image analysis and data science.
Students: 1 or 2