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A systematic literature review on the use of machine learning in precision livestock farming.

, , , , and . Comput. Electron. Agric., (2020)

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Management System for the Fattening Process of Bovines in Rotational Grazing using Diagnosis and Recommendation Systems., , and . CLEI Electron. J., (September 2023)The design and implementation of the open Ravenscar kernel., , , , and . IRTAW, page 85-90. ACM, (2000)An autonomous system for the self-supervision of animal fattening in the context of precision livestock farming., , and . Future Gener. Comput. Syst., (January 2024)A systematic literature review on the use of machine learning in precision livestock farming., , , , and . Comput. Electron. Agric., (2020)A meta-learning approach in a cattle weight identification system for anomaly detection., and . Comput. Electron. Agric., (2024)A many-objective optimization approach for weight gain and animal welfare in rotational grazing of cattle., , and . Eng. Appl. Artif. Intell., (2024)An Application Case for Ravenscar Technology: Porting OBOSS to GNAT/ORK., , and . Ada-Europe, volume 2043 of Lecture Notes in Computer Science, page 392-404. Springer, (2001)Supervision System of the Fattening Process of Cattle in Rotational Grazing using Fuzzy Classification., , , , and . CLEI, page 1-10. IEEE, (2022)A Framework for the E-R Computational Creativity Model., , , , and . MICAI, volume 4293 of Lecture Notes in Computer Science, page 70-80. Springer, (2006)Autonomic computing in a beef-production process for Precision Livestock Farming., , , , , and . J. Ind. Inf. Integr., (February 2023)