基于高光谱的水稻叶片氮含量估计的深度森林模型研究

李金敏, 陈秀青, 杨琦, 史良胜

Deep learning models for estimation of paddy rice leaf nitrogen concentration based on canopy hyperspectral data

LI Jin-Min, CHEN Xiu-Qing, YANG Qi, SHI Liang-Sheng

表1 2年水稻试验小区的面积和处理水平

Table 1 Areas and treatments of two-year experiment in paddy rice

2018年试验Experiment in 2018 2019年试验Experiment in 2019 小区编号 Plot number 氮素水平 Nitrogen level 小区面积 Area (m2) 小区编号 Plot number 氮素水平 Nitrogen level 小区面积 Area (m2) B1 N3 353.8 B1 N3′ 296.70 B2 N2 352.2 B2 N2′ 293.09 B3 N0 347.2 B3 N1′ 317.83 B4 N1 338.3 B4 N0 333.10 B5 N0 338.3 B5 N3′ 329.80 B6 N3 337.5 B6 N2′ 383.78 B7 N1 340.5 B7 N1′ 306.47 B8 N2 342.6 B8 N0 295.22 B9 N3 341.3 B9 N3′ 313.16 B10 N1 340.4 B10 N2′ 291.99 B11 N2 327.6 B11 N1′ 299.94 B12 N0 201.8 B12 N0 292.74