Application of hyperspectral imaging for spatial prediction of soluble solid content in sweet potato-Reference-Cited by-同舟云学术

Application of hyperspectral imaging for spatial prediction of soluble solid content in sweet potato

Published:2020 Issue:55 Volume:10 Page:33148-33154
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Shao Yuanyuan¹²³⁴⁵,Liu Yi¹²³⁴⁵,Xuan Guantao¹²³⁴⁵^ORCID,Wang Yongxian¹²³⁴⁵,Gao Zongmei⁶⁷⁸⁹¹⁰,Hu Zhichao¹¹¹²¹³⁵,Han Xiang¹²³⁴⁵,Gao Chong¹²³⁴⁵,Wang Kaili¹²³⁴⁵

Affiliation:

1. College of Mechanical and Electrical Engineering

2. Shandong Intelligent Engineering Laboratory of Agricultural Equipment

3. Shandong Agricultural University

4. Tai'an

5. China

6. Center for Precision and Automated Agricultural Systems

7. Department of Biological Systems Engineering

8. Washington State University

9. Prosser

10. USA

11. Nanjing Institute of Agricultural Mechanization

12. Ministry of Agriculture and Rural Affairs

13. Nanjing

Abstract

Visible and near infrared (Vis-NIR) hyperspectral imaging was used for fast detection and visualization of soluble solid content (SSC) in ‘Beijing 553’ and ‘Red Banana’ sweet potatoes.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/RA/C9RA10630H

Reference46 articles.

1. Differences in transport of photosynthates between high-and low-yielding Ipomoea batatas L. varieties

2. EFFECT OF WATER STRESS AND PLANTING SYSTEM ON GROWTH, YIELD AND QUALITY OF SWEET POTATO

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