Development of two smart acoustic yam quality detection devices using a machine learning approach-Reference-Cited by-同舟云学术

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Development of two smart acoustic yam quality detection devices using a machine learning approach

Published:2023-03 Issue:3 Volume:9 Page:e14567
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Audu J.,Dinrifo R.R.,Adegbenjo A.,Anyebe S.P.,Alonge A.F.

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference37 articles.

1. Genetic Improvement of Vegetable Crops;Kalloo,1993

2. Chapter 7 - Traditional foods from tropical root and tuber crops: innovations and challenges;Saranraj,2019

3. Roots, tubers and bananas: contributions to food security;Kennedy,2019

4. Chapter Seven - tubers and roots as a source of prebiotic fibers;Nabeshima,2020

5. Yams Market - Growth, Trends, Covid-19 Impact, and Forecasts,2022

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Yam Quality Detection Through Computer Vision in Iot and Robotics Applications;2024

2. Enhancing Yam Quality Detection Through Computer Vision in Iot and Robotics Applications;2024

3. Enhancing Yam Quality Detection through Computer Vision in IoT and Robotics Applications;2023-12-12

4. Acoustic platforms meet MXenes – a new paradigm shift in the palette of biomedical applications;Nanoscale;2023

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