Advance Plant Health Monitoring and Forecasting System Using Edge-Fog-Cloud Computing and LSTM Networks-Reference-Cited by-同舟云学术

Advance Plant Health Monitoring and Forecasting System Using Edge-Fog-Cloud Computing and LSTM Networks

Published:2023 Issue: Volume: Page:335-344
ISSN:2524-7565
Container-title:Algorithms for Intelligent Systems
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Author:

Chavan Rugved Sanjay,Srivastava Gaurav,Pradhan Nitesh

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7041-2_26

Reference20 articles.

1. Wortmann FFK (2015) Internet of Things. Bus Inf Syst Eng 57:221–224

2. Siddagangaiah S (2016) A novel approach to IoT based plant health monitoring system. Int Res J Eng Technol (IRJET) 3(11):880–886

3. Liu Y, Hassan KA, Karlsson M, Weister O, Gong S (2018) Active plant wall for green indoor climate based on cloud and Internet of Things. IEEE Access 6:33631–33644

4. Farooq MU, Waseem M, Mazhar S, Khairi A, Kamal T (2018) Review on applications of Internet of Things (IoT). Int J Adv Res Comput Eng Technol (IJARCET) 7(12):841–845

5. Arathi Reghukumara VV (2019) Smart plant watering system with cloud analysis and plant health prediction. In: International conference on recent trends in advanced computing, vol 165, pp 127–135

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