• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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PredFeed Net: GRU-based feed ration prediction model for automation of feed rationing


Kyu-jeong Sim, Su-rak Son, Yi-na Jeong, Journal of Internet Computing and Services, Vol. 25, No. 2, pp. 49-55, Apr. 2024
10.7472/jksii.2024.25.2.49, Full Text:  HTML
Keywords: Gated Recurrent Unit, PredFeed Net, Fish Farm

Abstract

This paper proposes PredFeed Net, a neural network model that mimics the food distribution of fish farming experts. Unlike existing food distribution automation systems, PredFeed Net predicts food distribution by learning the food distribution patterns of experts. This has the advantage of being able to learn using only existing environmental data and food distribution records from food distribution experts, without the need to experiment by changing food distribution variables according to the environment in an actual aquarium. After completing training, PredFeed Net predicts the next food ration based on the current environment or fish condition. Prediction of feed ration is a necessary element for automating feed ration, and feed ration automation contributes to the development of modern fish farming such as smart aquaculture and aquaponics systems.


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Cite this article
[APA Style]
Sim, K., Son, S., & Jeong, Y. (2024). PredFeed Net: GRU-based feed ration prediction model for automation of feed rationing. Journal of Internet Computing and Services, 25(2), 49-55. DOI: 10.7472/jksii.2024.25.2.49.

[IEEE Style]
K. Sim, S. Son, Y. Jeong, "PredFeed Net: GRU-based feed ration prediction model for automation of feed rationing," Journal of Internet Computing and Services, vol. 25, no. 2, pp. 49-55, 2024. DOI: 10.7472/jksii.2024.25.2.49.

[ACM Style]
Kyu-jeong Sim, Su-rak Son, and Yi-na Jeong. 2024. PredFeed Net: GRU-based feed ration prediction model for automation of feed rationing. Journal of Internet Computing and Services, 25, 2, (2024), 49-55. DOI: 10.7472/jksii.2024.25.2.49.