Automated Parasite Control System Prototype Through Capsule Dosage Based on Image Processing

Abstract

Digitalization and automation in the agricultural sector enable the enhancement of production processes, leading to increased yields. Specifically, the medications administration or complementary treatments in animals often prove to be a demanding task for human operators. This work introduces an embedded system prototype that facilitates monitoring the level of capsules coverage in troughs through image processing. The suggested system enables an innovative antiparasitic treatment using biological control agents. The prototype utilizes a Raspberry Pi 3B as the platform to execute the developed image processing algorithm. The obtained results successfully demonstrate the algorithm’s accurate functionality estimating capsules coverage within the troughs.