Spatial Prediction of Soil Water Content by Bayesian Optimization–Deep Forest Model with Landscape Index and Soil Texture Data

Spatial Prediction of Soil Water Content by Bayesian Optimization–Deep Forest Model with Landscape Index and Soil Texture Data

The accurate prediction of the spatial variability for soil water content (SWC) in farmland is essential for water resource management and sustainable agricultural development. However, natural factors introduce uncertainty and result in poor alignment when predicting farmland SWC, leading to low ac...

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Bibliographic Details
Main Authors: Weihao Yang, Ruofan Zhen, Fanyue Meng, Xiaohang Yang, Miao Lu, Yingqiang Song
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
landscape index
machine learning
soil water content
farmland
Online Access:https://www.mdpi.com/2073-4395/14/12/3039
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