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Improving Wheat Yield Prediction Accuracy Using LSTM-RF Framework Based on UAV Thermal Infrared and Multispectral Imagery

Yield prediction is of great significance in agricultural production. Remote sensing technology based on unmanned aerial vehicles (UAVs) offers the capacity of non-intrusive crop yield prediction with low cost and high throughput. In this study, a winter wheat field experiment with three levels of i...

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Principais autores: Yulin Shen, Benoît Mercatoris, Zhen Cao, Paul Kwan, Leifeng Guo, Hongxun Yao, Qian Cheng
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2022-06-01
סדרה:Agriculture
נושאים:
UAV
wheat yield
multispectral
thermal infrared
long short-term memory network
גישה מקוונת:https://www.mdpi.com/2077-0472/12/6/892
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