Identification of soybean varieties based on hyperspectral imaging technology and one‐dimensional convolutional neural network-Reference-Cited by-同舟云学术

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Identification of soybean varieties based on hyperspectral imaging technology and one‐dimensional convolutional neural network

Published:2021-06-11 Issue:8 Volume:44 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Eng

Author:

Li Hao¹²^ORCID,Zhang Liu¹²,Sun Heng¹²^ORCID,Rao Zhenhong³,Ji Haiyan¹²

Affiliation:

1. Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education China Agricultural University Beijing China

2. Key Laboratory of Agricultural Information Acquisition Technology Ministry of Agriculture China Agricultural University Beijing China

3. College of Science China Agricultural University Beijing China

Funder

National Basic Research Program of China

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.13767

Reference40 articles.

1. Classification of Amazonian rosewood essential oil by Raman spectroscopy and PLS-DA with reliability estimation

2. High speed measurement of corn seed viability using hyperspectral imaging

3. Rapid Classification of Wheat Grain Varieties Using Hyperspectral Imaging and Chemometrics

4. Nutrient Uptake, Partitioning, and Remobilization in Modern Soybean Varieties

5. Densely connected deep random forest for hyperspectral imagery classification

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