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Agriculture Science – Discrimination of conventional and transgenic soybean seeds

Agriculture Science – Discrimination of conventional and transgenic soybean seeds

What is agriculture science?

Agriculture science is the area exploring everything revolving around agriculture and how scientists can improve and get a better understanding of it. Furthermore, it can be defined by pathology, agronomy, crop modeling, and more. This area has been established many centuries ago and it is ever increasing since then.

Multispectral imaging in AgriTech

One of the biggest advantages of image-based solutions is that they are enabling us to see more than just with the human eye or with a microscope. Secondly, multispectral imaging has many areas of applications, one of them being agriculture.

Videometer works mainly in seed and grain and has many publications proving their excellence in this field. Moreover, spectral imaging instruments can detect many differences between samples with the usage of multiple wavelengths and artificial intelligence.

Seed imaging consists of:

  • Purity
  • Germination and vigor
  • Seed treatment

Explore in-depth those applications of Videometer and agriculture science here.

Agriculture science application – soybean seeds discrimination

Soybean seeds are crucial for oil production, as well as consumer protein intake. The recent paper explores on discrimination of conventional and transgenic soybean seeds. Spectral imaging and chemometric method were implemented to detect GMO-changed soybean seeds.

This paper proves that the non-destructive method provided by Videometer is sufficient and accurate to discriminate those seeds. Read more about this scientific study in Cambridge Journal of Agriculture Science.


LIU, C., LIU, W., LU, X., CHEN, W., CHEN, F., YANG, J., & ZHENG, L. (2014). Non-destructive discrimination of conventional and glyphosate-resistant soybean seeds and their hybrid descendants using multispectral imaging and chemometric methods. The Journal of Agricultural Science, 154(1), 1–12.


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