Research And Design Of Pig Disease Early Warning System Based On Hadoop

The pig industry is in a pivotal position in China.Based on the growth characteristics and breeding environment of pigs,it is easy to get sick because of the external environment.If it is not treated quickly after the disease,it will immediately spread and cause large-scale The pig infectious disease disaster has caused the pork production and quality to drop rapidly.It has caused huge economic losses to the farm while seriously threatening people's lives.Therefore,the early warning of the disease in the pig industry is a big problem facing China.Pig disease is closely related to factors such as breeding cycle and body temperature.Therefore,through the analysis of relevant data in the process of raising pigs,the data mining method for pig disease early warning is improved,and the pig disease early warning system is finally constructed,which has certain warning for pig disease in China.In the process of analyzing and processing pig data,there have been many new requirements for data processing and mining.The previous single algorithm model obviously cannot meet the demand of historical data information,and the research focus of data mining has become parallel.Integrated learning of calculations and algorithms.It is the focus of this article to study both Hadoop's parallel computing and decision tree algorithms.Firstly,the Map Reduce operation mechanism,Hdfs system architecture,Map Reduce programming model,etc.are introduced.Then,the calculation of pig disease data preprocessing is introduced,and the decision tree composed of ID3 algorithm,C4.5 algorithm and Cart algorithm is composed.The mining algorithm is focused on analysis,and then the parallelization of the iterative decision tree algorithm based on the Hadoop platform and the parallelization of the random forest algorithm are analyzed.For the function of the two,the two types of parallelization algorithms are developed during the experiment.the study.Finally,the characteristics and laws of pig's disease occurrence are analyzed in detail,and the parallel decision tree algorithm is integrated into the disease early warning system.The basic model of the pig disease early warning system is proposed.Through the environment deployment and code development,the system can be realized.The main function.