Dew Aeroponics: Dew-Enabled Smart Aeroponics System in Agriculture 4.0-Reference-Cited by-同舟云学术

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Dew Aeroponics: Dew-Enabled Smart Aeroponics System in Agriculture 4.0

Published:2023-09-03 Issue: Volume: Page:261-287
ISSN:2199-1073
Container-title:Internet of Things
language:
Short-container-title:

Author:

Ghosh Baishali,Roy Samarjit,Ahmed Nurzaman,De Debashis

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-4590-0_13

Reference45 articles.

1. Vanipriya, C.H., Maruyi, S., Malladi, Gupta, G.: Artificial intelligence enabled plant emotion Xpresser in the development hydroponics system. In: Mater. Today: Proc.45, 5034–5040 (2021). https://doi.org/10.1016/j.matpr.2021.01.512

2. Halgamuge, M.N., Bojovschi, A., Fisher, P.M.J., Le, T.C., Adeloju, S., Murphy, S.: Internet of things and autonomous control for vertical cultivation walls towards smart food growing: a review. Urban For Urban Green 61, 127094 (2021). https://doi.org/10.1016/J.UFUG.2021.127094

3. Publications and Graphics Department NASA Center for AeroSpace Information (CASI).: Spinoff 2006 (2006)

4. Rahmad, I.F., Tanti, L., Puspasari, R., Ekadiansyah, E., Fragastia, V.A.: Automatic monitoring and control system in aeroponic plant agriculture. In: 2020 8th International Conference on Cyber and IT Service Management, CITSM 2020 (2020). https://doi.org/10.1109/CITSM50537.2020.9268808

5. Chung, S., Lim, J., Noh, K.J., Kim, G., Jeong, H.: Sensor data acquisition and multimodal sensor fusion for human activity recognition using deep learning. Sensors 19(7), 1716 (2019). https://doi.org/10.3390/S19071716

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1. Smart Aeroponic Farms with IoT-Enabled Efficient Automation and Monitoring;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

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