Prediction of Moisture Loss in Withering Process of Tea Manufacturing Using Artificial Neural Network-Reference-Cited by-同舟云学术

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Prediction of Moisture Loss in Withering Process of Tea Manufacturing Using Artificial Neural Network

Published:2018-01 Issue:1 Volume:67 Page:175-184
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Das Nipan^ORCID,Kalita Kunjalata,Boruah P K,Sarma Utpal

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/8169260/08066434.pdf?arnumber=8066434

Cited by 17 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. Effect of withering/spreading on the physical and chemical properties of tea: A review;Comprehensive Reviews in Food Science and Food Safety;2024-09

2. A Novel Low-Cost Detection Scheme Based on Multi-Sensor Array Optimization;IEEE Transactions on Circuits and Systems II: Express Briefs;2024-05

3. Towards Precision Withering in Tea Factories with Non-Invasive Leaf Moisture Estimation;2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS);2024-01-03

4. Application of Computing Techniques in Monitoring Black Tea Processing for Improved Quality: Review and Future Directions;Soft Computing Applications;2023

5. United States tea: A synopsis of ongoing tea research and solutions to United States tea production issues;Frontiers in Plant Science;2022-09-23

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