Evaluating soil nutrients of Dacrydium pectinatum in China using machine learning techniques

Evaluating soil nutrients of Dacrydium pectinatum in China using machine learning techniques

Abstract Background The accurate estimation of soil nutrient content is particularly important in view of its impact on plant growth and forest regeneration. In order to investigate soil nutrient content and quality for the natural regeneration of Dacrydium pectinatum communities in China, designing...

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Bibliographic Details
Main Authors: Chunyan Wu, Yongfu Chen, Xiaojiang Hong, Zelin Liu, Changhui Peng
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:Forest Ecosystems
Subjects:
Support vector machine
KNNSVM
Generalized regression neural network
Nutrient grade
Rare and endangered tree species
Online Access:http://link.springer.com/article/10.1186/s40663-020-00232-5

Internet

http://link.springer.com/article/10.1186/s40663-020-00232-5

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