Spectroscopy and Spectral Analysis, Volume. 42, Issue 9, 2924(2022)
Prediction of Organic Matter Content in Sandy Fluvo-Aquic Soil by Visible-Near Infrared Spectroscopy
[1] W Amelung, I Kgel-Knabner. Geoderma, 384, 114785(2021).
[2] A Bradford M, E Fuller, A Kane D et al. Environmental Research Letters, 16, 044018(2021).
[4] Q Ding Y, T He X, X Zhang D et al. Computers and Electronics in Agriculture, 162, 318(2019).
[5] Q Ding Y, T He X, X Zhang D et al. Computers and Electronics in Agriculture, 162, 309(2019).
[6] Y Ding, L Yang, D Zhang et al. International Journal of Agricultural and Biological Engineering, 14, 151(2021).
[7] N Bakr, S M El-Ashry. Communications in Soil Science & Plant Analysis, 49, 2587(2018).
[8] A Morellos, D Moshou, E Pantazi X et al. Biosystems Engineering, 152, 104(2016).
[9] M Mouazen A, N Said. Computers and Electronics in Agriculture, 151, 469(2018).
[10] Y Chen, Y Hong, Y Liu et al. Geoderma, 337, 758(2019).
[11] L Bernard, H Christopher, S Michael et al. Geoderma., 354, 113856(2019).
[12] J Behmann, A Rodionov, C Roemer et al. Journal of Plant Nutrition and Soil Science, 177, 845(2014).
[13] A Berg, A Laamrani, P Voroney et al. Remote Sensing, 11, 1298(2019).
[14] M Ludwig, S Thiele-Bruhn, M Vohland et al. Geoderma, 88(2014).
[15] S Hicks W, A Viscarra Rossel R. European Journal of Soil Science, 66, 438(2015).
[16] W Ji, Viscarra Rossel R A, Z Shi et al. European Journal of Soil Science, 66, 679(2015).
[20] Y Chen Y, S Hong Y, L Yu et al. Remote Sensing, 10, 479(2018).
[21] T Fei, Q Jiang, Y Liu et al. Remote Sensing, 6, 4305(2014).
Get Citation
Copy Citation Text
Xiang-jun ZHONG, Li YANG, Dong-xing ZHANG, Tao CUI, Xian-tao HE, Zhao-hui DU. Prediction of Organic Matter Content in Sandy Fluvo-Aquic Soil by Visible-Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2924
Category: Research Articles
Received: Aug. 4, 2021
Accepted: Nov. 19, 2021
Published Online: Nov. 17, 2022
The Author Email: ZHONG Xiang-jun (xjzhong1004@163.com)