Prediction of Potassium Content in Rice Leaves Based on Spectral Features and Random Forests
Yue Yu,
Haiye Yu,
Xiaokai Li
et al.
Abstract:The information acquisition about potassium, which affects the quality and yield of crops, is of great significance for crop nutrient management and intelligent decision making in smart agriculture. This article proposes a method for predicting the rice leaf potassium content (LKC) using spectral characteristics and random forests (RF). The method screens spectral characteristic variables based on the linear correlation analysis results of rice LKC and four transformed spectra (original reflectance (R), first … Show more
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