Spectroscopy and Spectral Analysis, Volume. 43, Issue 12, 3862(2023)
Study on Prediction Models for Leaf Area Index of Multiple Crops Based on Multi-Source Information and Deep Learning
[1] [1] Parker G G. Forest Ecology and Management, 2020, 477(1): 118496.
[2] [2] Yan G, Hu R, Luo J, et al. Agricultural and Forest Meteorology, 2019, 265: 390.
[4] [4] Gong Y, Yang K, Lin Z, et al. Plant Methods, 2021, 17(1): 1.
[6] [6] Apolo-Apolo, Pérez-Ruiz, Martínez-Guanter, et al. Agronomy, 2020, 10(2): 175.
[9] [9] Wang F, Wang R, Xie C, et al. Computers and Electronics in Agriculture, 2021, 187: 106268.
[11] [11] Cai W, Wei R, Xu L, et al. Information Processing in Agriculture, 2021, 9(3): 343.
[12] [12] Tetila E C, Machado B B, Belete N, et al. IEEE Geoscience and Remote Sensing Letters, 2017, 14(12): 2190.
[13] [13] Flavia T, Maurizio P, Salvatore G. Journal of Hydrology, 2016, 540: 240.
[14] [14] Arnal B. Computers and Electronics in Agriculture, 2018, 153: 46.
[15] [15] Scotford I M, Miller P. Biosystems Engineering, 2004, 89(4): 395.
[16] [16] Yang X, Mu X, Wang D, et al. Proceedings of SPIE-The International Society for Optical Engineering, 2007, 6752: 589.
[17] [17] Weber C R, Shibles R M, Byth D E. Agronomy Journal, 1966, 58(1): 99.
[18] [18] Gong Y, Yang K, Lin Z, et al. Plant Methods, 2021, 17(1): 1.
[19] [19] Lei L, Qiu C, Li Z, et al. Remote Sensing, 2019, 11(9): 1067.
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HAO Zi-yuan, YANG Wei, LI Hao, YU Hao, LI Min-zan. Study on Prediction Models for Leaf Area Index of Multiple Crops Based on Multi-Source Information and Deep Learning[J]. Spectroscopy and Spectral Analysis, 2023, 43(12): 3862
Received: Jun. 20, 2022
Accepted: --
Published Online: Jan. 11, 2024
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