Grain Grading

early Sample Videos

1. SGA Wheat Kernel FDK Detector Mobile App Demo (Draft)

Users take a handful of wheat seeds with Fusarium damaged kernels (FDK), place them on a standard A4 paper, and take a photo with a mobile device. Our application can count and label each seed and FDK in the photo within one second.

The following original video without any editing aims to test the accuracy of SuperGeoAI FDK detector mobile application through the following steps.

  1. Use Pixel 6 Pro to take a photo of the wheat seeds. The app says that there are a total of 43 seeds, 5 FDK seeds, and 38 normal seeds.
  2. We take one FDK seeds and two normal seeds out, and take another photo. The app says that there are a total of 40 seeds, 4 FDK seeds, and 36 normal seeds.

The SuperGeoAI mobile application has successfully passed the test!

This is an early demo video. We are working on a new version of the mobile applications. It will be released soon.

2. SGA GeoAI-Driven Cloud Platforms for wheat kernel Counting and Grading (Draft Demo)

After users upload a wheat kernel image, the platform will automatically count and label each seed in the photo within one second. It can also identify and label Fusarium damaged kernels [FDK]. In addition, users can visualize results and verify accuracy, manually fixing any errors and achieving better accuracy if necessary. This is an early demo. We are working on a new version of the cloud platform. It will be released soon.

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