Jia-mao SANG, Feng-nong CHEN. Detection of Rice False Smut Grade Degree Based on the Rank Sum Test of Spectral Feature Points[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3214
- Spectroscopy and Spectral Analysis
- Vol. 41, Issue 10, 3214 (2021)
Fig. 1. DJI Matrice 600 PRO
Fig. 2. Aerial photograph of Unmanned Aerial Vehicle (UAV) with hyperspectral device in test field
Note:Figure 2 was collected on September 18, 2017; the rice is in the yellow ripening period; the climate is cloudy and there is no wind; the aerial photography route is from west to east.
Note:
Fig. 3. Spectra of rice without rice smut diseaseand rice with rice smut disease
Fig. 4. Technical route of rank sum test for rice smut disease
Fig. 5. Box drawing and notes
Note: The horizontal lines from level 3 to level 5 from top to bottom represent the sample upper bound, upper 1/4 quintile, median line, lower 1/4 quintile, and sample lower bound.
Note: The horizontal lines from level 3 to level 5 from top to bottom represent the sample upper bound, upper 1/4 quintile, median line, lower 1/4 quintile, and sample lower bound.
Fig. 6. Diagram of the classification of Rice False Smut in experimental field
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Table 1. Planting distribution of rice test field in 2019
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Table 2. Disease grade of Rice False Smutin different experimental areas
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Table 3. Output of rank sum test
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Table 4. Significance rank sum test results
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