Data Type and Data Sources for Agricultural Big Data and Machine Learning
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References listed on IDEAS
- Carlo Batini & Anisa Rula & Monica Scannapieco & Gianluigi Viscusi, 2015. "From Data Quality to Big Data Quality," Journal of Database Management (JDM), IGI Global, vol. 26(1), pages 60-82, January.
- D. Sathiaraj & X. Huang & J. Chen, 2019. "Predicting climate types for the Continental United States using unsupervised clustering techniques," Environmetrics, John Wiley & Sons, Ltd., vol. 30(4), June.
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Cited by:
- Fabián Santos & Nicole Acosta, 2023. "An Approach Based on Web Scraping and Denoising Encoders to Curate Food Security Datasets," Agriculture, MDPI, vol. 13(5), pages 1-19, May.
- Shuangxi Miao & Shuyu Wang & Chunyan Huang & Xiaohong Xia & Lingling Sang & Jianxi Huang & Han Liu & Zheng Zhang & Junxiao Zhang & Xu Huang & Fei Gao, 2023. "A Big Data Grided Organization and Management Method for Cropland Quality Evaluation," Land, MDPI, vol. 12(10), pages 1-20, October.
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Keywords
agriculture; big data; machine learning; data type; data source;All these keywords.
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