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. 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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