Non-destructive prediction of soluble solids content of pear based on fruit surface feature classification and multivariate regression analysis-Reference-Cited by-同舟云学术

Non-destructive prediction of soluble solids content of pear based on fruit surface feature classification and multivariate regression analysis

Published:2018-08 Issue: Volume:92 Page:336-344
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Tian Xi,Wang Qingyan,Li Jiangbo,Peng Fa,Huang Wenqian

Funder

National Natural Science Foundation of China

Beijing Academy of agriculture Forestry Science

National Engineering Laboratory for Agri-product Quality Traceability

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

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