An Investigation into the Intelligent Ecological Animal Husbandry Based on Embedded Systems

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.

Authors

Institutions

Publication Details

Journal
Applied and Computational Engineering
Published
2025-05-15
DOI
https://doi.org/10.54254/2755-2721/2025.22729
Primary Topic
Internet of Things and Social Network Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Investigation into the Intelligent Ecological Animal Husbandry Based on Embedded Systems

Baoku Yin
Applied and Computational Engineering
Internet of Things and Social Network Interactions
article

An Investigation into the Intelligent Ecological Animal Husbandry Based on Embedded Systems

Baoku Yin
article en

Abstract

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.

Applied and Computational EngineeringVol. 147(1)
Shenyang Aerospace University (CN)
Openalex Percentile: Top 90%
Internet of Things and Social Network Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.