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

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 letter introduces an...

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Bibliographic Details
Published in:IEEE embedded systems letters 2024-09, Vol.16 (3), p.303-306
Main Authors: Carbajo, Ezequiel, Leiva, Lucas, Toloza, Juan, Vazquez, Martin, Fernandez, Silvina, Sagues, Federica, Junco, Milagros, Guerrero, Ines, Zegbi, Sara, Saumell, Carlos
Format: Article
Language:English
Subjects:
Agroindustry
Animals
Biology
Cameras
embedded system
Estimation
Gabor filters
image processing
Kernel
parasite control
Prototypes
Citations: Items that this one cites
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Summary: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 letter 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.
ISSN:1943-0663
1943-0671
DOI:10.1109/LES.2024.3386336