An Investigation into the Intelligent Ecological Animal Husbandry Based on Embedded Systems
Baoku Yin · Applied and Computational Engineering · 2025
In response to China's imperative for sustainable livestock development and socioeconomic progress, the concurrent advancement of ecological and smart livestock farming is being promoted. The realization of a smart ecological livestock farming model necessitates the intelligent evolution of both equipment and management practices, alongside the application of computer technologies such as big data and cloud computing. However, current systems suffer from poor interoperability and compatibility, which impedes effective data integration and sharing. Furthermore, the existing technological solutions lack adaptability to regional variations, resulting in inadequate technical applicability and suboptimal implementation outcomes. This paper employs literature reviews and technology assessment methodologies to explore the developmental pathways and technological implementations of smart ecological livestock farming. A comprehensive smart ecological livestock farming system based on embedded technology, such as Raspberry Pi and STM32, is designed to facilitate the advancement of smart ecological livestock farming. The conclusion drawn is that smart ecological livestock farming represents an inevitable trajectory for the modernization of the livestock industry.