S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Novel Embedded Smart Gateway Framework for Fruit/Vegetable Quality Classification

Ming-Chih Chen, Yin-Ting Cheng, and Chun-Yu Liu

(Received May 12, 2021; Accepted November 24, 2021)

Keywords: quality classification, artificial intelligence, edge computing, microprocessors

Recent advances in technology have increased the use of automation in agriculture. Commercially available equipment associated with fruit and vegetable quality classification or collection has a success rate of classification of around 50%. Even though a system can operate continuously, its low recognition rate causes misjudgments in fruit quality. In this work we propose a new, embedded gateway structure with simple implementation and enhanced success rates for fruit and vegetable quality classification. We have combined an edge-computing embedded development platform with an artificial intelligence (AI) algorithm structure, where microprocessors are used to control the gateway switch of a conveyor, and this platform is used to build a small fruit/vegetable quality classification system, which has been implemented and tested. The system’s hardware is controlled by different pulse widths. By combining AI algorithms of an image sensor for recognition, we have effectively enhanced the system’s capability of fruit and vegetable quality recognition.

Corresponding author: Yin-Ting Cheng




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