Figure 2 | Scientific Reports

Figure 2

From: Incorporation of machine learning and deep neural network approaches into a remote sensing-integrated crop model for the simulation of rice growth

Figure 2

Simulated (Sim) versus observed (Obs) LAI of paddy rice using the RF and DNN regressors for (a–d) Cheorwon, (e–h) Paju, (i–l) Gimje, South Korea, and (m–p) Pyeongyang, North Korea in (a, e, i, and m) 2014, (b, f, j, and n) 2015, (c, g, k, and o) 2016, and (d, h, l, and p) 2017. ME-RF and ME-DNN represent the model efficiency of RF and the model efficiency of DNN.

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