| abstract |
The invention discloses a method for identifying comprehensive resistance to scab of wheat varieties based on hyperspectral images. The method takes wheat ears infected with scab of different varieties as the research object, and comprehensively uses hyperspectral imaging technology, spectroscopy, time Based on the knowledge in many fields such as sequence analysis and deep learning, it is proposed: the identification method for the resistance of wheat varieties in the non-infection period, the identification method for the resistance identification of wheat varieties after the onset, and the comprehensive identification method for wheat scab resistance. The present invention breaks through the defects of difficulty in resistance detection during the infection period, slow speed and low precision in manual identification operations, complex procedures and high costs in chemical methods, and not only provides a faster and more accurate method for identification of wheat scab resistance, but also can Resistance identification of wheat cultivars was carried out at the period when wheat was infected with Fusarium rubella but not infected. |