Rape test tool for rape seed test system
The test is an important part of the crop genetics and breeding process, and it is extremely important to improve the efficiency of breeding work. In recent years, computer technology has developed rapidly, and various computer software has been presented to meet users' needs. However, due to the particularity of the agricultural industry, computer software design in the agricultural sector lags behind. At present, the scientific computer software design for the test is in its infancy. The related application software is very limited, and the system design is not mature. The rape seed test system has a very powerful role in the breeding of rape seed.
The rapeseed test system consists of four major modules: data entry, variety inquiry, character data analysis, and user management. The trait data analysis module is divided into three submenus: variance statistics, estimated production, and neural network training. The varietal data entry module can record the trait data recorded in each corn variety test, and can also modify and export the print history data. Variety search module can query trait data by species name, species code, and year. The system is developed based on the network environment and involves different users. The user management module is used to assign different rights to different users for different users to use. The trait data analysis module can obtain metrics, variance values, etc. from the trait data. It can also estimate the yield based on the estimated production formula. The trait data can also be used as sample data to be input to the neural network module, which can be repeatedly trained and screened out. Variety with reference value.
The functional requirements and data characteristics of the rapeseed test system were strongly studied and the rapeseed test system was designed and implemented. The application of the system can improve the work efficiency of the test, make the computer technology applied in the field of agricultural technology, and permanently retain the data generated by the corn test, objectively screen the test data, and obtain a scientific data reference, the system The application prospects are broad.
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