Personalized Management of Animal Diets with Automated Cognitive Agents

• Carlos Eduardo Taranto Winter CEFET/RJ
• Davi Heggdorne Klein CEFET/RJ
• Nilson Lazarin CEFET/RJ
• Bruno Freitas CEFET/RJ
• Carlos Pantoja CEFET/RJ

DOI: https://doi.org/10.5753/wsis.2025.15742

Abstract

Adequate and personalized feeding is essential for the health and well-being of animals, especially in environments with multiple individuals and distinct nutritional needs. This paper proposes an automated system for animal diet management, integrating technologies such as embedded cognitive agents and Radio Frequency Identification (RFID) devices. The system aims to provide precise and efficient control of feeding, ensuring that each animal receives the necessary food in the right quantity and at the right time. The proposal is based on an automated feeder that individually identifies animals and distributes food according to pre-configured feeding plans. The application of this system can be particularly beneficial in farms, zoos, and animal rehabilitation centers, contributing to improved animal health and quality of life.

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