The Detection of Soybean Bacterial Blight Based on Polarization Spectral Imaging Techniques
Soybean bacterial blight, caused by <i>Pseudomonas savastanoi</i> pv. <i>glycine</i>, which is one of the common diseases of soybeans, has a strong harm and a great impact on the yield of soybeans. If the disease is not diagnosed in time and no solution comes up, it will lead...
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MDPI AG
2024-12-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/15/1/50 |
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| author | Jia Yi Huilin Jiang Yong Tan |
| author_facet | Jia Yi Huilin Jiang Yong Tan |
| author_sort | Jia Yi |
| collection | DOAJ |
| description | Soybean bacterial blight, caused by <i>Pseudomonas savastanoi</i> pv. <i>glycine</i>, which is one of the common diseases of soybeans, has a strong harm and a great impact on the yield of soybeans. If the disease is not diagnosed in time and no solution comes up, it will lead to the serious loss of yield after the disease becomes serious. Therefore, this paper proposes the detection of the soybean bacterial blight with the polarization spectroscopic imaging method, derived from the detection principle and mathematical model of polarization bidirectional reflection distribution function on the basis of the Stokes vector analysis method. By synthesizing the spectral lines of the four polarization states and the non-polarization states, it was found that the physical parameters of <i>I</i> (135°, 90°) polarization state were the most suitable for identifying soybean bacterial blight disease, and other polarization states could also supplement the characteristic information. The results show that the polarization spectral image can effectively identify the polarization characteristics of healthy soybean leaves and early bacterial blight in the field, and can distinguish the healthy leaves and the diseased leaves by obtaining the relative polarization reflectance of different areas in soybean leaves. Finally, the soybean disease species can be accurately diagnosed. This paper provides an optical method for the detection of crop diseases and insect pests, which makes up for the deficiency of the traditional detection technology and can provide a scientific basis for the safe non-destructive detection of crop diseases and pests. |
| format | Article |
| id | doaj-art-18830d02d4dc45649f6946ce014262f3 |
| institution | Kabale University |
| issn | 2073-4395 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj-art-18830d02d4dc45649f6946ce014262f32025-01-24T13:16:30ZengMDPI AGAgronomy2073-43952024-12-011515010.3390/agronomy15010050The Detection of Soybean Bacterial Blight Based on Polarization Spectral Imaging TechniquesJia Yi0Huilin Jiang1Yong Tan2Graduate School, Changchun University of Science and Technology, Changchun 130022, ChinaNational and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, ChinaSchool of Physics, Changchun University of Science and Technology, Changchun 130022, ChinaSoybean bacterial blight, caused by <i>Pseudomonas savastanoi</i> pv. <i>glycine</i>, which is one of the common diseases of soybeans, has a strong harm and a great impact on the yield of soybeans. If the disease is not diagnosed in time and no solution comes up, it will lead to the serious loss of yield after the disease becomes serious. Therefore, this paper proposes the detection of the soybean bacterial blight with the polarization spectroscopic imaging method, derived from the detection principle and mathematical model of polarization bidirectional reflection distribution function on the basis of the Stokes vector analysis method. By synthesizing the spectral lines of the four polarization states and the non-polarization states, it was found that the physical parameters of <i>I</i> (135°, 90°) polarization state were the most suitable for identifying soybean bacterial blight disease, and other polarization states could also supplement the characteristic information. The results show that the polarization spectral image can effectively identify the polarization characteristics of healthy soybean leaves and early bacterial blight in the field, and can distinguish the healthy leaves and the diseased leaves by obtaining the relative polarization reflectance of different areas in soybean leaves. Finally, the soybean disease species can be accurately diagnosed. This paper provides an optical method for the detection of crop diseases and insect pests, which makes up for the deficiency of the traditional detection technology and can provide a scientific basis for the safe non-destructive detection of crop diseases and pests.https://www.mdpi.com/2073-4395/15/1/50polarization spectral imagingpolarimetric bidirectional reflectance distribution functionsoybean bacterial blight |
| spellingShingle | Jia Yi Huilin Jiang Yong Tan The Detection of Soybean Bacterial Blight Based on Polarization Spectral Imaging Techniques Agronomy polarization spectral imaging polarimetric bidirectional reflectance distribution function soybean bacterial blight |
| title | The Detection of Soybean Bacterial Blight Based on Polarization Spectral Imaging Techniques |
| title_full | The Detection of Soybean Bacterial Blight Based on Polarization Spectral Imaging Techniques |
| title_fullStr | The Detection of Soybean Bacterial Blight Based on Polarization Spectral Imaging Techniques |
| title_full_unstemmed | The Detection of Soybean Bacterial Blight Based on Polarization Spectral Imaging Techniques |
| title_short | The Detection of Soybean Bacterial Blight Based on Polarization Spectral Imaging Techniques |
| title_sort | detection of soybean bacterial blight based on polarization spectral imaging techniques |
| topic | polarization spectral imaging polarimetric bidirectional reflectance distribution function soybean bacterial blight |
| url | https://www.mdpi.com/2073-4395/15/1/50 |
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