Open Access
Issue |
E3S Web Conf.
Volume 189, 2020
2020 International Conference on Agricultural Science and Technology and Food Engineering (ASTFE 2020)
|
|
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Article Number | 01012 | |
Number of page(s) | 4 | |
Section | Agricultural Resources and Agricultural Automation | |
DOI | https://doi.org/10.1051/e3sconf/202018901012 | |
Published online | 15 September 2020 |
- National Bureau of Statistics of China. Communique on Major Data of the Second National Agricultural Census of China. (2008) [Google Scholar]
- Liu X. Feeding China’s Growing Needs For Grain. Nature. (2010). [Google Scholar]
- Yu J, Wu J. The Sustainability of Agriculture Development in China: The AgricultureEnvironment Nexus. Sustainability. (2018). [Google Scholar]
- Liu J. China’s Road to Sustainability. Science. (2010). [Google Scholar]
- Schwab K. The Fourth Industrial Revolution: What It Means, How to Respond. World Economic Forum. (2016). [Google Scholar]
- Dhar V. Data Science and Prediction. Communications of the ACM. (2013). [PubMed] [Google Scholar]
- DATAFLAIR TEAM. (2019). Data Science in Agriculture – Advancing Together & Benefiting Farmers. Data Flair. [Google Scholar]
- DATAFLAIR TEAM. Data Science for Weather Prediction – The Prerequisite to all Natural Disasters. Data Flair. (2019). [Google Scholar]
- Matthew K. 6 Ways the Agricultural Industry Is Benefiting From Data Scientists. Toward Data Science. (2019). [Google Scholar]
- Shchur A. Weather forecasting with data science approaches. Towards Data Science. 2019. [Google Scholar]
- Gautam A. (2019). Data Science in Agriculture. Trends in Data Science. [Google Scholar]
- Pantazi X., Moshou D., Alexandridis T., Whetton R., Mouazen A. (2016). Wheat Yield Prediction Using Machine Learning and advanced Sensing Techniques. Science Direct. [Google Scholar]
- Pantazi X., Moshou D., Alexandridis T., Whetton R., Mouazen A. Wheat Yield Prediction Using Machine Learning and advanced Sensing Techniques. Science Direct. (2016). [Google Scholar]
- Almahdi H. Predicting Crops Yield: Machine Learning Nanodegree Capstone Project. Towards Data Science. [Google Scholar]
- Montgomery M. The Urban Transformation of the Developing World. Science. (2008). [Google Scholar]
- Coopersmith E., Minsker B., Wenzel C., Gilmore B. Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation. Science Direct. (2014). [Google Scholar]
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