Internet-of-Things for Smart Dryers: Enablers, State of the arts, Challenges, and Solutions

Author:

Rizalman Mohd Khairulanwar1,Moung Ervin Gubin1,Dargham Jamal Ahmad2,Jamain Zuhair3,Yaakub Nurul'azah Mohd4,Omatu Sigeru5

Affiliation:

1. Universiti Malaysia Sabah,Faculty of Computing and Informatics,Kota Kinabalu,Malaysia

2. Universiti Malaysia Sabah,Faculty of Engineering,Kota Kinabalu,Malaysia

3. Universiti Malaysia Sabah,Faculty of Science and Natural Resources,Kota Kinabalu,Malaysia

4. Universiti Malaysia Sabah,Faculty of Sustainable Agriculture,Sandakan,Malaysia

5. Digital Monozukuri (Manufacturing) Education Research Centre, Hiroshima University,Higashi-Hiroshima,Japan

Publisher

IEEE

Reference43 articles.

1. Experimental investigations on active solar dryers integrated with thermal storage for drying of black pepper

2. Machine learning in drying

3. The prediction of seedy grape drying rate using a neural network method;cakmak;Computers and Electronics in Agriculture,2011

4. Neural network approach for food temperature prediction during solar drying

5. Modeling of thin-layer drying kinetics of sesame seeds: Mathematical and neural networks modeling;khazaei;International Agrophysics,2007

Cited by 2 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. Advancement and Innovations in Drying of Biopharmaceuticals, Nutraceuticals, and Functional Foods;Food Engineering Reviews;2024-08-07

2. The Integration of Traditional Rural Solar Dryer with LoRa and IoT Technology;2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2023-03-22

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