Smart Farming System Using IoT and Cloud
Lecture Notes on Data Engineering and Communications Technologies, ISSN: 2367-4520, Vol: 75, Page: 215-232
2022
- 3Citations
- 21Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
Due to the unprecedented increase in human population, agriculture plays an indispensable role in satisfying their daily needs. Henceforth, improving farm productiveness is indeed a huge challenge in the existing farming industry, which lacks continuous record management to satisfy the constantly emerging food needs. Along with the increasing population, global warming and climate transition also remain as an increasing challenge in the agricultural sector. In this scenario, this research has attempted to develop a smart farm management method, which incorporates cloud as well as the Internet of things (IoT) to take appropriate action. For instance, smart farming helps to provide a variety of important data such as air temperature. The paper has provided a smart device for farm field tracking, which controls dry run, motion detection, soil moisture detection, rainwater detection, humidity, and temperature. Also, this research work implements proper measures for those concepts on receiving the collected information without human input and later the detected quantities are stored for further data analysis within the cloud. Real-time feeds are being supervised upon this webpage as well as on the cell phone messaging. These would encourage farm workers and cultivate agricultural crops in a more modern way.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85115254506&origin=inward; http://dx.doi.org/10.1007/978-981-16-3728-5_16; https://link.springer.com/10.1007/978-981-16-3728-5_16; https://dx.doi.org/10.1007/978-981-16-3728-5_16; https://link.springer.com/chapter/10.1007/978-981-16-3728-5_16
Springer Science and Business Media LLC
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