| Issue |
E3S Web Conf.
Volume 189, 2020
2020 International Conference on Agricultural Science and Technology and Food Engineering (ASTFE 2020)
|
|
|---|---|---|
| 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 | |
Application of Data Science in China’s Sustainable Agriculture System
Ningbo Foreign Language School, Ningbo, Zhejiang 315121, China
* Corresponding author e-mail: qy.liu@protonmail.com
The presented article focuses on demonstrating the application of data science and its prospect in China’s agriculture system. Applying machine learning in atmospheric science, data scientists could recreate the historical data, building relationships between the available data and the relative predictors. Therefore, inputting the relative variables like climate data, wind, and pollution, scientists could forecast the incoming weather and accurately predict the future yield. Moreover, data science helps farmers detect the soil quality, seeking for feasible ways to improve it. Thus, Data science is of great practical significance to the sustainable development and stable high yield of China’s agricultural system.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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