Abstract
Based on the Hadoop, this paper uses linear regression algorithm to study the intelligent monitoring strategy of no-tillage information. In this paper, the regional computers in this system use Flume and Kafka to transfer large amounts of farming information from local node databases to HDFS (Hadoop Distributed File System), then process this data with Spark, whatever, the system uses time series linear regression algorithm to predict the fault of no-tillage. Compared with the no-tillage designed before, the system described in this paper not only reduces time delay but also improves the fault tolerance of data storage and the system stability. Field experiments have proved that the research of this strategy has an accuracy rate of up to 90%, which reduces the huge economic losses caused by machine failure.
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