Humidity Sensor Accuracy Improvement Based on Two Nested Kalman Filters for Commercial Cultivation of Tropical Orchids-Reference-Cited by-同舟云学术

Humidity Sensor Accuracy Improvement Based on Two Nested Kalman Filters for Commercial Cultivation of Tropical Orchids

Published:2020 Issue: Volume: Page:104-112
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Dangsakul Prachumpong^ORCID,Siripool Nutchanon^ORCID,Sirisanwannakul Kraithep^ORCID,Keinprasit Rachaporn^ORCID,Rungprateeptavorn Khongpan^ORCID,Keerativittayanun Suthum^ORCID,Karnjana Jessada^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-63823-8_13

Reference14 articles.

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3. Fujimoto, M., Ariki, Y.: Noisy speech recognition using noise reduction method based on Kalman filter. In: 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No. 00CH37100), vol. 3, pp. 1727–1730 (2000)

4. Griesel, S., Theel, M., Niemand, H., Lanzinger, E.: Acceptance test procedure for capacitive humidity sensors in saturated conditions. In: WMO CIMO TECO-2012, Brussels, Belgium, pp. 1–7 (2012)

5. Kalman, R.E.: A new approach to linear filtering and prediction problems (1960)

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