Design On Third-Party Multi-Object Traceability System Of Greenhouse Crop

This article topics was from the 2012 Ministry of Education sources "spring project" research the Key technology research of agriculture facility of multi-source and multi-modal mass information processing in alpine region.State paid more attention to the issue which focus on agricultural production,food security,crop safety.It was based on the maturer and maturer greenhouse data collection technology.According to the different request of multi-object traceability,designed the acquisition mode of greenhouse crops and according to traceability.Data which included the basic data of greenhouse crops on the growth and greenhouse external environment data,etc.establish evolutionary algorithm based on multi-objective standardized data model traceability greenhouse crops and designed the traceability database which consider the integration of data from different sources in different geographical characteristics.To take this platform build third-party Internet traceability system.Based on multi-objective evolutionary algorithm which deal with greenhouse diverse,heterogeneous data published evolutionary algorithms involved in the greenhouse environment control optimization based on improved multi-objective papers.Traceability systems and agricultural expert systems mainly focused on the research front-end hardware now and lack of the design the collection,processing,useful and other issues of backend data.The main topic for the growth of greenhouse crops basic information controlled,data acquisition,high storage,research value characteristics.Combined with modern computer communication,network,internet of things technology,networking principles,through research information accuracy,validity,timeliness and logical relationship between collecting the information economy and the crop traceability information between relationships of structure and logic to build a third-party traceability system based on the request of the greenhouse crop traceability multivariate data models.For multiple objects,including consumers,farmers,government and researchers,the production chain of agricultural facilities in agricultural enterprises in the production process aim to the basic data of growth request in different levels,through integrate the information on greenhouse crops annual data and the latest collection of information from all levels.Through standardized methods process the data which include eliminate physical dimension.Using gray correlation algorithm to extract feature data and analysis weight effect in the early and evolutionary algorithm based on multi-object data model for multivariate optimization of greenhouse weights effect.Comprehensive analysis the collection and transmission of information,aimed at analyze the logical relationship for temperature,humidity and other greenhouse crops data and establishment of multi-object-oriented database traceable greenhouse crops and design greenhouse crops traceability systems.