Spectroscopy and Spectral Analysis, Volume. 42, Issue 7, 2233(2022)
Fertilization Management Zoning Based on Crop Canopy Spectral Information
Fig. 1. No.11 and No.12-2 of No.17 operation station in No.4 management area of Zhaoguang farm
Fig. 2. Spectral information collection platform for crop canopy
Fig. 3. Field of spectral information collection of crop canopy
Fig. 4. Flow chart of model-based fuzzy c-means algorithm
Fig. 5. SSE change curves of NDVI data under different partition numbers
(a): Soybean; (b): Maize
Fig. 6. Silhouette coefficients of different NDVI data volumes
(a): Soybean; (b): Maize
Fig. 7. Adjusted Rand index of different NDVI data volumes
(a): Soybean; (b): Maize
Fig. 8. Time costs of two algorithms under different NDVI data volumes
(a): Soybean; (b): Maize
Fig. 9. Fertilization management zoning calculated by two algorithms for 4 000 soybean NDVI
(a): FCM algorithm; (b): MFCM algorithm
Fig. 10. Fertilization management zoning calculated by two algorithms for 8 000 soybean NDVI
(a): FCM algorithm; (b): MFCM algorithm
Fig. 11. Fertilization management zoning calculated by two algorithms for 4 000 soybean NDVI
(a): FCM algorithm; (b): MFCM algorithm
Fig. 12. Fertilization management zoning calculated by two algorithms for 8 000 soybean NDVI
(a): FCM algorithm; (b): MFCM algorithm
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Hao CHEN, Xi WANG, Wei ZHANG, Xin-zhong WANG, Xiao-dong DI, Chang WANG. Fertilization Management Zoning Based on Crop Canopy Spectral Information[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2233
Category: Orginal Article
Received: Oct. 16, 2021
Accepted: --
Published Online: Nov. 16, 2022
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