The test species is an important part of the maize breeding process. Its role in agricultural breeding is self-evident. With the development of modernization of breeding information, the traditional artificial test method has been difficult to meet the needs of development, and it is urgently needed. An automated test equipment to improve the test work efficiency and accuracy, corn automatic test system is put into use in this context.
The feature of the test planting work is to screen the agricultural trait types and species information, collect information, and generate a large number of application data, which provides data support for the development of breeding work. Therefore, if this work is handed over to humans, it is The workload is very large, and it is also very easy to have a subjective error. This is evident in past work, but if it is done by an automatic test equipment such as the corn automatic test system, Therefore, not only can the rapid and accurate collection, sorting, recording, statistics, analysis, and storage of various parameters be achieved, but also the efficiency of breeding work can be effectively improved, and the labor force can be liberated as much as possible, thus alleviating the work pressure of testers.
The composition of corn automatic test system is generally composed of software and hardware, but subdivided, it can be considered that corn automatic test system is composed of high-precision weighing sensor, high-resolution camera, high-brightness backplane Consisting of light sources, the automatic corn seeding system is very suitable for measuring parameters such as the number, weight, and grain weight of seeds, and is widely used in seed dressing operations for rice, seeds, wheat, corn, soybeans, and rapeseed. In the application effect, it can also be seen that the automatic corn seeding system can clearly capture the seed image and carry out automatic intelligent identification, with both the measurement efficiency and the accuracy. The following is the automatic corn seeding system for soybean, rice and wheat. The detection effect.
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