Evaluating soil nutrients of Dacrydium pectinatum in China using machine learning techniquesOACSTPCD
Evaluating soil nutrients of Dacrydium pectinatum in China using machine learning techniques
Chunyan Wu;Yongfu Chen;Xiaojiang Hong;Zelin Liu;Changhui Peng
State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the State Forestry Administration, ResearchInstitute of Forestry, Chinese Academy of Forestry, Beijing 100091, ChinaResearch Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, ChinaResearch Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, ChinaHainan Bawangling National Natural Reserve, Changjiang 572722, Hainan, ChinaDepartment of Biological Science, Institute of Environment Sciences, University of Quebec at Montreal, Montreal, QC, Canada
Support vector machineKNNSVMGeneralized regression neural networkNutrient gradeRare and endangered tree species
Support vector machineKNNSVMGeneralized regression neural networkNutrient gradeRare and endangered tree species
《森林生态系统(英文版)》 2020 (3)
378-391,14
The work was financially supported by the Fundamental Research Funds for the Central Non-profit Research Institution of CAF(CAFBB2017ZB004).
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