Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks
Big Data (BD), Machine Learning (ML) and Internet of Things (IoT) are expected to have a large impact on Smart Farming and involve the whole supply chain, particularly for rice production. The increasing amount and variety of data captured and obtained by these emerging technologies in IoT offer the...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/30054/2/Towards%20paddy%20rice%20smart%20farming%2C%20A%20review%20on%20big%20data%2C%20machine%20learning%2C%20and%20rice%20production%20tasks-Abstract.pdf https://eprints.ums.edu.my/id/eprint/30054/3/Towards%20paddy%20rice%20smart%20farming%2C%20A%20review%20on%20big%20data%2C%20machine%20learning%2C%20and%20rice%20production%20tasks.pdf https://eprints.ums.edu.my/id/eprint/30054/ https://www.scopus.com/record/display.uri?eid=2-s2.0-85103778651&origin=resultslist&sort=plf-f&src=s&sid=90932d2a854c850271f37dda74544974&sot=a&sdt=a&sl=38&s=AU-ID%2824722539300%29+AND+PUBYEAR+IS+2021&relpos=8&citeCnt=0&searchTerm=&featureToggles=FEATURE_NEW_METRICS_SECTION:1 https://doi.org/10.1109/ACCESS.2021.3069449 |
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https://eprints.ums.edu.my/id/eprint/30054/2/Towards%20paddy%20rice%20smart%20farming%2C%20A%20review%20on%20big%20data%2C%20machine%20learning%2C%20and%20rice%20production%20tasks-Abstract.pdfhttps://eprints.ums.edu.my/id/eprint/30054/3/Towards%20paddy%20rice%20smart%20farming%2C%20A%20review%20on%20big%20data%2C%20machine%20learning%2C%20and%20rice%20production%20tasks.pdf
https://eprints.ums.edu.my/id/eprint/30054/
https://www.scopus.com/record/display.uri?eid=2-s2.0-85103778651&origin=resultslist&sort=plf-f&src=s&sid=90932d2a854c850271f37dda74544974&sot=a&sdt=a&sl=38&s=AU-ID%2824722539300%29+AND+PUBYEAR+IS+2021&relpos=8&citeCnt=0&searchTerm=&featureToggles=FEATURE_NEW_METRICS_SECTION:1
https://doi.org/10.1109/ACCESS.2021.3069449