Smart Agriculture Driven by Edge Computing under the Digital Background
In the wave of global digital economy,AI,cloud computing,big data and other technologies were revolutionizing the economy and livelihoods,driving agriculture into a data-oriented digital era.Agriculture has experienced manual work,mechanization to initial automation,and is now rapidly stepping into the era of smart agriculture led by the new generation of information technology.The construction of smart agriculture driven by edge computing was focused on,a technological paradigm that is essential to overcome the challenges of agricultural data management and decision making.By virtue of near-source processing of data,edge computing enables real-time analysis and low-latency response of data,demonstrating high adaptability and stability to the limitations of agricultural infrastructure.Empirical research data show that integrated edge intelligence solutions greatly enhance data processing capabilities and reduce costs,validating their potential for significant efficiency gains under synergistic effects.It not only focuses on the improvement of production efficiency,but also deeply analyzes the multiple benefits of edge computing in agricultural data processing and decision making,covering economic benefits,social and ecological dimensions.It not only strengthens the foundation of agricultural market stability and sustainable development,but also provides a solid theoretical framework and strategic guidance for the innovative practice and future development of smart agriculture.
edge computingdata-driven smartagricultural supply chainsustainable development
NETL
NSTL
万方数据
