Application of Three Deep Machine-Learning Algorithms in a Construction Assessment Model of Farmland Quality at the County Scale: Case Study of Xiangzhou, Hubei Province, China

Application of Three Deep Machine-Learning Algorithms in a Construction Assessment Model of Farmland Quality at the County Scale: Case Study of Xiangzhou, Hubei Province, China

Constructing a scientific and quantitative quality-assessment model for farmland is important for understanding farmland quality, and can provide a theoretical basis and technical support for formulating rational and effective management policies and realizing the sustainable use of farmland resourc...

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Bibliographic Details
Main Authors: Li Wang, Yong Zhou, Qing Li, Tao Xu, Zhengxiang Wu, Jingyi Liu
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Agriculture
Subjects:
farmland quality
machine-learning algorithms
comprehensive assessment index system
random forest
county scale
Xiangzhou
Online Access:https://www.mdpi.com/2077-0472/11/1/72

Internet

https://www.mdpi.com/2077-0472/11/1/72

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