Vine Diseases Detection Trials in the Carpathian Region with Proximity Aerial Images

Abstract

With the recent advances in the Agro 4.0 domain, the advanced inspection tools from the robotics domain in agriculture got into the focus. The automatic field inspection with autonomous robots started to get accepted by the farmers. However, one of the main challenges of the visual inspection is the geographical variety of the plants. In this work, we focus on the vineyard-specific inspection with low-altitude flying drones and we analyze the geographical correlation among the typical grape species in the Carpathian Basin using foundation machine learning models.