Point-to-Interval Prediction Method for Key Soil Property Contents Utilizing Multi-Source Spectral Data

Point-to-Interval Prediction Method for Key Soil Property Contents Utilizing Multi-Source Spectral Data

Key soil properties play pivotal roles in shaping crop growth and yield outcomes. Accurate point prediction and interval prediction of soil properties serve as crucial references for making informed decisions regarding fertilizer applications. Traditional soil testing methods often entail laborious...

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Bibliographic Details
Main Authors: Shuyan Liu, Dongyan Huang, Lili Fu, Shengxian Wu, Yanlei Xu, Yibing Chen, Qinglai Zhao
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agronomy
Subjects:
spectral data
soil properties
point prediction
interval prediction
machine learning
Online Access:https://www.mdpi.com/2073-4395/14/11/2678
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