An automated cucumber inspection system based on neural network-Reference-Cited by-同舟云学术

An automated cucumber inspection system based on neural network

Published:2022-05-28 Issue:9 Volume:45 Page:
ISSN:0145-8876
Container-title:Journal of Food Process Engineering
language:en
Short-container-title:J Food Process Engineering

Author:

Gan Yee‐Siang¹^ORCID,Luo Shi‐Hao²,Li Chih‐Hsueh²,Chung Shih‐Wei²,Liong Sze‐Teng²^ORCID,Tan Lit‐Ken³

Affiliation:

1. School of Architecture Feng Chia University Taichung Taiwan, R.O.C.

2. Department of Electronic Engineering Feng Chia University Taichung Taiwan, R.O.C.

3. Takasago Thermal/Environmental Systems Laboratory, Malaysia‐Japan International Institute of Technology Universiti Teknologi Malaysia Kuala Lumpur Malaysia

Publisher

Wiley

Subject

General Chemical Engineering,Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.14069

Reference26 articles.

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2. Profitability and efficiency of cucumber production among smallholder farmers in Oyo state, Nigeria

3. Detection, classification, and mapping of coffee fruits during harvest with computer vision

4. A Computational Approach to Edge Detection

5. An automated zizania quality grading method based on deep classification model

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