摘要
大数据技术是指对规模庞大、种类繁多、生成速度快且价值密度低的数据进行采集、存储、处理、分析和应用的技术和方法。在现代农业中,大数据技术的应用正逐渐成为提高农业机械智能化水平的重要途径,在农业机械数据采集、数据存储、数据分析和决策支持等方面通过实时采集农田环境数据、作物生长数据和机械运行数据,为农业机械提供精准的作业指导和优化方案,显著提升作业效率和精度。同时,基于大数据分析的预测模型,可以提前识别和预防机械故障,减少停机时间,提高设备利用率,该技术可以推动农业向智能化、精准化和可持续化方向发展。
Big data technology refers to the technology and method of collecting,storing,processing,analyzing and applying data that is large in scale,diverse in kind,fast in generation speed and low in value density.In modern agriculture,the application of big data technology is gradually becoming an important way to improve the level of agricultural machinery intelligence,in agricultural machinery data acquisition,data storage,data analysis and decision support through real-time collection of farmland environment data,crop growth data and machinery operation data,to provide agricultural machinery with accurate operational guidance and optimization programs,significantly improving operational efficiency and precision.At the same time,the prediction model based on big data analysis can identify and prevent mechanical failures in advance,reduce downtime,and improve equipment utilization,and the technology can promote the development of agriculture in the direction of intelligence,precision and sustainability.
作者
张迎春
ZHANG Yingchun(Henan Logistics Vocational College,Zhengzhou 450000,China)
出处
《农机使用与维修》
2024年第11期81-83,共3页
Agricultural Machinery Using & Maintenance
关键词
农业机械
大数据技术
数据分析
故障预防
agricultural machinery
big data technology
data analysis
failure prevention