Internet of Things enabled crop physiology sensing system for abiotic crop stress management in apple and sweet cherry

Author(s):  
Rakesh Ranjan ◽  
Rajeev Sinha ◽  
Lav R. Khot ◽  
R. Troy Peters ◽  
Melba R. Salazar-Gutierrez
2014 ◽  
Author(s):  
Chen Gao ◽  
Jin Wang ◽  
Long Yin ◽  
Jing Yang ◽  
Jian Jiang ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5791
Author(s):  
Cheng-Jung Yang ◽  
Ming-Huang Chen ◽  
Keng-Pei Lin ◽  
Yu-Jie Cheng ◽  
Fu-Chi Cheng

Dental laboratories require manpower resources for manufacturing prostheses and inventory management. In this paper, we developed an automated inventory management system for dental laboratories to improve the production efficiency. A sensing system was developed based on the framework of Internet of things to collect the information of cobalt-chromium disks both in the storage room and manufacturing area, and an expert system was developed to automatically conduct inventory management based on the established rules. The proposed system can reduce the time of recording data and also assist the manager in configuring and managing material orders. The experimental results showed that a large amount of working time is reduced, resulting in the benefits of saving money and improving efficiency in dental manufacturing.


Iproceedings ◽  
2017 ◽  
Vol 3 (1) ◽  
pp. e15 ◽  
Author(s):  
Tian Hao ◽  
Jeffrey Rogers ◽  
Hung-Yang Chang ◽  
Marion Ball ◽  
Kimberly Walter ◽  
...  

2016 ◽  
Vol 37 (2) ◽  
Author(s):  
Wei Ji ◽  
Xuejie Ma

AbstractA vibration sensing system used for the Internet of Things is presented in this paper. Using the distributed feedback fiber lasers (DFB-FL) collects external sound signals and digital phase generated carrier (PGC) method realizes wavelength demodulation. The platform is designed based on an open architecture and B/S (Browser/Server) technology which makes it an ideal platform to be operated under a network environment. The sensing system is no power supply and could be monitored anytime and anywhere which is the requirement of Internet of things.


2018 ◽  
Vol 30 (7) ◽  
pp. 1499
Author(s):  
Chan-Young Park ◽  
Mi-So Lee ◽  
Yu-Seop Kim ◽  
Hye-Jeong Song ◽  
Jong-Dae Kim

2018 ◽  
Vol 5 (6) ◽  
pp. 4409-4417 ◽  
Author(s):  
Md. Eshrat E. Alahi ◽  
Najid Pereira-Ishak ◽  
Subhas Chandra Mukhopadhyay ◽  
Lucy Burkitt

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