Recovery Algorithm Of EXT4 System And Application In Agricultural Pest Control System

With the development of the of science and technology,especially the emergence of technologies such as cloud computing,big data,artificial intelligence,etc.,computer technology has been widely used in the field of agriculture,and agricultural informatization is playing an increasingly important role in agricultural production.As an industry that is not fully covered by informatization in traditional industries,informatization in the agricultural field has great development prospects.The role of modern agricultural information systems are inseparable from the support of data.However,due to the failure of the agricultural information system,or the misoperation of the operator and so on,important agricultural data may be lost,which may cause major losses.Therefore,it is very necessary to study the data recovery technology of agricultural information system.In this paper,taking the EXT4(Fourth Extended Filesystem)file system widely used in servers and mobile smart terminals as an object,a metadata-based file recovery method is proposed.The basic idea is: the metadata of the EXT4 file system(Meta-data)can be obtained from the raw data of the hard disk by analyzing the hard disk layout and structural characteristics of the EXT4 file system.For any given absolute path file name,the file corresponding group descriptor,inode number,and storage block number are obtained based on metadata analysis,and finally converted to obtain the hard disk sector physical address.File recovery can be achieved based on the physical address of the hard disk sector.The whole process only relies on the original data on the hard disk to complete the recovery.On the basis of the above method,this article combines the application in the agricultural field,carries on the simulation experiment of the picture file,the audio file,the video file,and carries on the simple analysis to the algorithm performance,puts forward the need for improvement.The experimental results prove that the method is effective and has certain theoretical research significance and practical application value for supporting the preservation of agricultural information.