智慧农业导刊2024，Vol.4Issue(12)：11-15,5.DOI:10.20028/j.zhnydk.2024.12.003
人工智能深度学习模型在土壤属性数字制图中的应用
摘要
Abstract
In order to increase the prediction accuracy of digital mapping model of soil properties,accompanied by the increase in data quantity especially remote sensing environmental variables,the improvement of computing power,and the popularization of deep learning frameworks,the digital mapping model of soil propertiesis transitioning from traditional knowledge-driven models to data-driven artificial intelligent deep learning models.This article takes the key property of soil organic carbon as an example to analyze and summarize the theoretical basis,model structure,integration of relevant environmental variable spatial context information and multimodality data that urgently needs to be solved,and interpretability of deep learning models.The aim is to promote the application of artificial intelligent deep learning models in soil properties digital mapping of the Third National Soil Survey.关键词
数字土壤制图/深度学习/神经网络/土壤属性/土壤有机碳Key words
digital soil mapping/deep learning/neural network/soil properties/soil organic carbon分类
农业科技引用本文复制引用
伍维模..人工智能深度学习模型在土壤属性数字制图中的应用[J].智慧农业导刊,2024,4(12):11-15,5.基金项目
塔里木大学高教研究项目(TDGJYB2226) （TDGJYB2226）
