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Figure 1

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

Figure 1

Simulated (Sim) versus observed (Obs) leaf area index (LAI) of paddy rice using the (a and c) random forest (RF) regressor and (b and d) deep neural network (DNN) regressor in (and b) Cheorwon (n = 10,388) and (c and d) Paju (6,622), South Korea. RMSE and ME stand for root mean square error and model efficiency.

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