Quantitative damage detection of direct maize kernel harvest based on image processing and BP neural network-Reference-Cited by-同舟云学术

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Quantitative damage detection of direct maize kernel harvest based on image processing and BP neural network

Published:2022 Issue: Volume:42 Page:
ISSN:1678-457X
Container-title:Food Science and Technology
language:
Short-container-title:Food Sci. Technol

Author:

ZHU Yongle¹,MA Zheng¹^ORCID,HAN Min¹,LI Yaoming¹,XING Licheng²,LU En¹,GAO Hongyan¹

Affiliation:

1. Ministry of Education & Jiangsu Province, China; Jiangsu University, China

2. Jiangsu World Agricultural Machinery Co., Ltd., China

Publisher

FapUNIFESP (SciELO)

Subject

Food Science,Biotechnology

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0101-20612022000101241&tlng=en

Reference32 articles.

1. Application of neural networks in predicting the qualitative characteristics of fruits;Abdelbasset W. K.;Food Science and Technology,2022

2. The review of food safety inspection system based on artificial intelligence, image processing, and robotic;Chen T. C.;Food Science and Technology,2021

3. Research on food safety sampling inspection system based on deep learning;Chen T. C.;Food Science and Technology,2021

4. Development of technology and equipment of corn harvester in China;Chen Z.;Nongye Jixie Xuebao,2012

5. GB/T 21962-2008: technical conditions for maize harvesting machinery.,2008

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