Towards paddy rice smart farming: a review on big data, machine learning, and rice production tasks

• Main Authors: Rayner Alfred, Joe Henry Obit, Christie Chin Pei Yee, Haviluddin Haviluddin, Yuto Lim
• Format: Article
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Subjects: S Agriculture (General); T Technology (General)
• 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

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...