To Distinguish Internal Infestation in Wheat Kernels Using Biophoton Technology and CS-BP Algorithm

Author:

Shi Weiya

Publisher

Springer Nature Singapore

Reference29 articles.

1. Pearson, T.C., Brabec, D.L.: Detection of wheat kernels with hidden insect infestations with an electrically conductive roller mill. Appl. Eng. Agric. 23(5), 639–645 (2007)

2. Fang, X.U., Dao, Q., Xu, B., Shen, X.Z.: Study on the image processing technology for detecting insects in grain storage. J. Zhengzhou Inst. Technol. 22, 78–81 (2001)

3. Brader, B., et al.: A comparison of screening methods for insect contamination in wheat. J. Stored Prod. Res. 38, 75–86 (2002)

4. Karunakaran, C., Jayas, D.S., White, N.D.G.: Soft X-rays: a potential insect detection method in cereals in grain handling facilities. In: Proceedings of International Quality Grain Conference, Indianapolis, Indiana, USA, 19–22 July 2024 (2004)

5. Zhang, H., Wang, J.: Detection of age and insect damage incurred by wheat with an electronic nose. J. Stored Prod. Res. 43(4), 489–495 (2007)

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