Design And Implementation Of Accurate Phenotypic Management And Analysis System For Soybean

The design and breeding of soybean based on the combination of molecular and phenotypic data is completed by the cooperation of molecular data and phenotypic data.With the development of digital agriculture,database information management technology is widely used in the field of soybean.Breeders also pay more and more attention to the extraction and management of precise phenotype data of soybean plants.The database system that can be checked and uploaded online realizes the sharing of phenotypic data and provides some data support for phenotypic researchers.At present,there are relatively few researches on crop precise phenotype information management database,but the convenience of database for information management function far exceeds the traditional way of data storage,and data sharing has gradually become the inevitable trend of crop precise phenotype information management.Therefore,based on the environment of Apache + PHP+ MYSQL,this study designed and implemented the precise phenotype management and analysis system of soybean,in which the precise phenotype of soybean mainly includes the measurement of dynamic phenotype of plant in the whole growth period and the measurement of terminal test phenotype.The precise phenotype in the system refers to the plant features automatically acquired by computer vision technology and methods,rather than manual acquisition,usually including the feature extraction of 3D model of plants and the feature extraction of local organ images of crops.At the same time,the virtual plant ontology is proposed,and the 3D model of plant is provided as an example to realize the visualization of plant phenotype data,which provides new research ideas and methods for crop phenotype research.The system effectively solves the problems of difficult data screening,accidental loss and missing,protects the integrity of data,reduces the impact of missing information on the experimental results,saves a lot of local storage space,and further promotes the development of soybean precise phenotype research.This system mainly includes three parts: phenotypic data management,phenotypic acquisition and phenotypic analysis.In the phenotypic data management part,the 3D model database,precise phenotypic database(including the phenotypic information obtained through 3D model and the phenotypic information obtained through image analysis)and artificial species database based on the virtual plant ontology are counted,realizing the whole life of soybean plants During the breeding period,the three-dimensional reconstruction model and the query and addition of phenotype data related to the terminal test phenotype function;the phenotype acquisition function is to use the deep learning technology to identify the image of soybean plants submitted by users(such as seeds,pods,stalks,etc.)so as to automatically extract phenotype data;phenotype analysis refers to the basic statistical analysis of phenotype data obtained through query Using data visualization and statistical information to judge the relationship between two characters or the change rule of single character.After the system is released on the server,users are allowed to enter the website through the browser:http://39.100.111.242/3dmodel/ to access the system data,which realizes the data sharing of soybean precise phenotype research,provides a platform for joint research,discussion and analysis,promotes the sustainable development of soybean precise phenotype research,promotes academic exchanges,and also provides for the cultivation of excellent soybean varieties Data support and theoretical support.