Quality Evaluation in Guavas using Deep Learning Architectures: An Experimental Review

Author:

Choudhury Tanupriya1,Mahdi Hussain Falih2,Agarwal Archit3,Chakraborty Arnav4,Arunachalaeshwaran V R1,Sarkar Tanmay5,Tomar Ravi1

Affiliation:

1. Informatics Cluster, School of Computer Science, University of Petroleum and Energy Studies (UPES),Dehradun,Uttarakhand,India,2480007

2. University of Diyala,Department of Computer and Software Engineering,Baquba,Iraq

3. School of Computing, National University of Singapore,Kent Ridge,Singapore,119007

4. School of Computer Science, Lambton College,Ontario,Canada,L4Z3E9

5. Malda Polytechnic,Department of Food Processing,Malda,West Bengal,India,732102

Publisher

IEEE

Cited by 8 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 agricultural product trade efficiency through machine learning predictions and multi-objective optimization of financial strategies;Quality Assurance and Safety of Crops & Foods;2024-04-20

2. Innovative Guava Leaf Spot Acuteness Assessment with YOLOv5 and Attention Model;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

3. CNN-Based Freshness Grading of Mourala Fish (Amblypharyngodon Mola);Intelligent Sustainable Systems;2023

4. Image Analysis Aided Freshness Classification of Pool Barb Fish (Puntius sophore);Emerging Trends in Expert Applications and Security;2023

5. Chicken Quality Evaluation Using Deep Learning;Emerging Trends in Expert Applications and Security;2023

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