1、 Purpose:
The ear length, ear thickness, stem thickness, and stem leaf angle of crops are the basic parameters of crop phenotype, and their manual measurement and acquisition work is heavy. This system utilizes machine vision intelligent recognition technology to efficiently obtain accurate measurement results, providing a basis for breeding and material selection.

2、 Main technical indicators
1. Use an autofocus 8-megapixel camera with a large depth of field to capture images, which are automatically recognized and calculated by software.
2★It can automatically measure the parameters of rice ear length, stem thickness, and stem leaf angle, as well as the ear length and diameter of wheat, millet, sorghum, and other crops.
3★After the tassel is placed steadily, it will automatically trigger recognition, and the automatic measurement of a single spike will be ≤ 2 seconds (the fastest measurement can be 30 spike lengths per minute). Alternatively, an external barcode gun or keyboard can be used to input the sample number to trigger photography and measurement.
4. The repeated measurement error of spike length is ≤± 0.5mm, the repeated measurement error of stem thickness is ≤± 0.3mm, and the repeated measurement error of stem leaf angle is ≤± 1 °.
5. Set parameters with memory and reusability. It can automatically remove the interference of rice awning length.
6. Measurement limit values can be set, and the voice will automatically report the screening and recognition results (if the spike length, stem thickness, and stem leaf angle exceed the limit, it will be reported as OK, but if not, it will be reported as NG).
7. It can store tens of thousands of images and their corresponding data, and wirelessly access the internet to remotely send images and result data.

3、 Standard configuration
1. SC-K1 in-situ live plant branching angle automatic measuring instrument system software USB flash drive and software lock 1 set
2. One 8-megapixel camera with autofocus and a large depth of field
3. 1 LED backlight imaging device with 220V power adapter
4. 1 size calibration board
5. Backlight board bracket 1 set

remarks:
1. In this technical proposal★The payment must be responsive, otherwise it is a significant deviation.
2. This product requires a computer, recommended: branded computer (Core i5 9th generation or above CPU/8GB memory/wireless network card, 4 or more USB 2.0 ports, Windows 10 Full Professional or Flagship Edition).