Corn ear test method

Abstract

The invention relates to a corn ear test method which comprises the following steps of: S1, connecting a test device; S2, initializing a test project; S3, setting the ear treatment mode, if the sample is even and orderly, entering S31 and carrying out batch processing, and if the sample is not even and orderly, entering S32 and carrying out precise processing; S4, threshing corn ears; S5, setting the cob treatment mode, if the sample is even and orderly, entering S51 and carrying out corn cob batch processing, and if the sample is not even and orderly, entering S52 and carrying out precise processing; and S6, carrying out batch processing on grains. The corn ear test method can obtain the accurate corn ear indexes, and effectively guarantees the error control in the test process; by combining software and hardware, the corn ear test method can complete the corn ear test by utilizing the image computing technology, thus well guaranteeing the consistency of data indexes, greatly improving the test efficiency and reducing the labor cost; and the original image information of the corn ears can be stored by the image technology, so that the digital resource of the corn ears can be set up.

Description

technical field [0001] The invention belongs to the field of agricultural seed treatment, and in particular relates to a method for testing corn ears. Background technique [0002] In order to establish a corn resource bank and carry out corn assisted breeding experiments, an important part of corn researchers is to obtain the material characteristics of corn ears, that is, to test corn ears. The basic traits of corn ears include: ear row number, row grain number, ear grain number, ear length, ear diameter, tip length, cob length, cob diameter, ear volume, cob volume, ear weight, cob weight , kernel color, kernel length, kernel width, kernel thickness, 100-grain weight, kernel type and more than 20 indicators. Normally, to carry out corn scientific experiments, it is necessary to test tens of thousands of corn ear materials. The quantity of corn material to be tested, the number of indicators to be measured and the requirements for the accuracy of the indicators make the t...

AI Technical Summary

Problems solved by technology

At present, the manual testing of corn varieties is mainly based on manual testing, and manual use of simple measuring instruments will bring the following disadvantages: 1) The measurement process cannot be monitored, and errors caused by human factors cannot be avoided; 2) For some testing indicators Only incomplete information can be measured, such as the measurement of the number of kernels in a row of corn. Generally, users only search for one row to count the kernels, and the accurate value is the total number of kernels divided by the number of ear rows; 3) Since the corn ear seed test is destructive Seed testing, that is, in order to measure cob and grain information, the ears must be threshed, and manual seed testing cannot digitally store the ears; 4) The efficiency of manual seed testing is too low, and labor costs are expensive

The Wanshen SC-G automatic solid-seed seed test analysis and thousand-grain weight instrument system developed by Hangzhou Wanshen Detection Technology Co., Ltd. uses a scanner to acquire images of one side of corn ears, and its disadvantage is that it only acquires one side Information, most of the corn ear indicators are estimated values ​​​​through calculations, which cannot guarantee the accuracy of the test indicators. At the same time, the equipment does not provide weighing functions, which makes the test indicators limited and increases labor costs.

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