Prediction of Potassium Content in Rice Leaves Based on Spectral Features and Random Forests

Prediction of Potassium Content in Rice Leaves Based on Spectral Features and Random Forests

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 ch...

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Bibliographic Details
Main Authors: Yue Yu, Haiye Yu, Xiaokai Li, Lei Zhang, Yuanyuan Sui
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Agronomy
Subjects:
random forests
feature selection
transformed spectra
vegetation index
potassium content
rice
Online Access:https://www.mdpi.com/2073-4395/13/9/2337

Internet

https://www.mdpi.com/2073-4395/13/9/2337

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