Application of Data Science in China's Sustainable Agriculture System

Abstract

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.