Method and device for detecting fertilization of hatching eggs before hatching based on near infrared spectrum
A near-infrared spectrum and near-infrared light technology is applied in the field of detection of fertilization of eggs before hatching, so as to achieve the effect of saving hatching space
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Embodiment 1
[0104] 1. Test material
[0105] The materials were brown-shell eggs (including fertilized eggs and unfertilized eggs), which were purchased from Beijing Huadu Yukou Poultry Industry Co., Ltd. After the samples were cleaned, all the samples were numbered, and there were 191 samples in total. The near-infrared reflection spectrum (near-infrared spectrum) of 191 eggs was collected according to the number. All eggs were then incubated at a temperature of 37.8°C and a relative humidity of 65%.
[0106] 2. Near-infrared spectrum collection
[0107] Spectra were collected after the instrument was warmed up for 30 minutes. The egg is placed flat on the stage, and the light spot of the light source is irradiated on the equator of the egg. The egg was rotated in 3 directions and collected three times, and each direction was scanned continuously for 3 times, thus obtaining 9 spectra for each sample.
[0108] 3. Judgment of fertilization
[0109] After 7 days of incubation, use an eg...
Embodiment 2
[0116] Example 2: The experimental material is 188 white-shell eggs. Among them, there were 91 fertilized eggs and 97 unfertilized eggs. The methods for dividing sample sets, spectral preprocessing, and model building are the same as those in Example 1. Of the 188 samples, 120 were selected into the modeling set, and 68 were selected into the prediction set. The prediction accuracy rate is 100%. The established model can achieve the purpose of identifying fertilized eggs and unfertilized eggs.
Embodiment 3
[0117] Example 3: The experimental material is 190 powder-shell eggs. Among them, there were 91 fertilized eggs and 99 unfertilized eggs. The methods for dividing sample sets, spectral preprocessing, and model building are the same as those in Example 1. Of the 190 samples, 120 were selected into the modeling set, and 70 were selected into the prediction set. The prediction accuracy rate is 100%. The established model can achieve the purpose of identifying fertilized eggs and unfertilized eggs.
[0118] The present invention can accurately determine the type of fertilized eggs and unfertilized eggs before hatching through the difference in the near-infrared spectrum response characteristics of fertilized eggs and unfertilized eggs in the breeding eggs without destroying the integrity of the breeding eggs, and the determination accuracy rate reaches 100%. It can provide producers with information about the unfertilized eggs in the breeding eggs, and can pick out the unferti...
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