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Efficient detection of internal infestation in wheat based on biophotonics

  • Published:2016-02 Issue: Volume:155 Page:137-143
  • ISSN:1011-1344
  • Container-title:Journal of Photochemistry and Photobiology B: Biology
  • language:en
  • Short-container-title:Journal of Photochemistry and Photobiology B: Biology

Author:

Shi WeiyaORCID,Jiao Keke,Liang Yitao,Wang Feng

Funder

National Natural Science Foundation of China

Special Fund for Agro-scientific Research in the Public Interest

National High Technology Research and Development Program 863 of China

Key Technologies R&D Program of Henan Science and Technology Committee

Natural Science Foundation of Henan Educational Committee

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,Biophysics,Radiological and Ultrasound Technology,Radiation

Reference32 articles.

1. Hidden and non-hidden stored-grain pests detection technology;Shen;Grain Storage,1995

2. Detection of insect-damaged wheat kernels using near-infrared hyperspectral imaging;Singh;J. Stored Prod. Res.,2009

3. The economics of grain price volatility;Wright;Appl. Econ. Perspect. Pol.,2011

4. A comparison of screening methods for insect contamination in wheat;Brader;J. Stored Prod. Res.,2002

5. Predicting insect density from probe trap catch in farm-stored wheat;David;J. Stored Prod. Res.,1998

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