Analysis and Detection of Blueberry Fruits for Smart Agriculture

Smart agriculture introduces various technological means and approaches to achieve the highest possible yields and simultaneously control the chemical integrity of the fruits themselves. In this paper, image processing techniques are applied for the analysis of blueberry fruits to obtain the most significant information about them. The blueberry detector, primarily based on color features, was applied to the recorded video sequences. Here, the detection rate of 89% was achieved in the case of ripe blueberries, and 86% in the case of unripe ones.