Pre-trained deep learning-based classification of jujube fruits according to their maturity level
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07213-5.pdf
Reference31 articles.
1. Pareek S (2013) Nutritional composition of jujube fruit. Emirates J Food Agric 25(6):463–470. https://doi.org/10.9755/ejfa.v2516.15552
2. Rashwan AK, Karim N, Rezaul M, Shishir I, Bao T, Lu Y (2020) Jujube fruit: apotential nutritious fruit for the development of functional food products. J Funct Foods 75(866):104205. https://doi.org/10.1016/j.jff.2020.104205
3. Magwaza LS, Tesfay SZ (2015) A review of destructive and non-destructive methods for determining avocado fruit maturity. Food Bioprocess Technol 8(10):1995–2011. https://doi.org/10.1007/s11947-015-1568-y
4. Li B, Lecourt J, Bishop G (2018) Advances in non-destructive early assessment of fruit ripeness towards defining optimal time of harvest and yield prediction–a review. Plants 7(1):1–20. https://doi.org/10.3390/plants7010003
5. Bhargava A, Bansal A (2021) Fruits and vegetables quality evaluation using computer vision: a review. J King Saud Univ-Comput Inf Sci 33(3):243–257. https://doi.org/10.1016/j.jksuci.2018.06.002
Cited by 20 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. C-net: a deep learning-based Jujube grading approach;Journal of Food Measurement and Characterization;2024-07-27
2. A Concise Review on Deep Learning Methods in Agricultural Applications;2024 Intelligent Methods, Systems, and Applications (IMSA);2024-07-13
3. Maturity grading of jujube for industrial applications harnessing deep learning;Engineering Computations;2024-06-18
4. Mango crop maturity estimation using meta‐learning approach;Journal of Food Process Engineering;2024-05-29
5. A framework of evolutionary optimized convolutional neural network for classification of shang and chow dynasties bronze decorative patterns;PLOS ONE;2024-05-14
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3