Application of a Fusion Attention Mechanism-Based Model Combining Bidirectional Gated Recurrent Units and Recurrent Neural Networks in Soil Nutrient Content Estimation

Application of a Fusion Attention Mechanism-Based Model Combining Bidirectional Gated Recurrent Units and Recurrent Neural Networks in Soil Nutrient Content Estimation

Accurately estimating soil nutrient content, including soil organic matter (OM), nitrogen (N), phosphorus (P), and potassium (K) levels, is crucial for optimizing agricultural practices and ensuring sustainable crop production. This paper proposes a model based on a fusion attention mechanism that c...

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Bibliographic Details
Main Authors: Huan Wang, Lixin Zhang, Jiawei Zhao
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Agronomy
Subjects:
soil nutrient
hyperspectral
attention mechanism
deep learning
feature extraction
Online Access:https://www.mdpi.com/2073-4395/13/11/2724

Internet

https://www.mdpi.com/2073-4395/13/11/2724

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