Tracking Climatic Variations Through Smart IoT-Driven Approach: An Exploratory Analysis
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0892-5_5
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4. Okafor, N.U., et al.: Improving data quality of low-cost IOT sensors in environmental monitoring networks using data fusion and machine learning approach. ICT Exp. 6(3), 220–228 (2020). https://doi.org/10.1016/j.icte.2020.06.004
5. Piromalis, D. D., et al.: Current trends and challenges in the deployment of IOT technologies for climate smart facility agriculture. Int. J. Sustain. Agricult. Manag. Inform. 5(2/3), 181 (2019). https://doi.org/10.1504/ijsami.2019.10023178
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