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.
Highlights
While experiencing rapid populace development, China has dealt with nourishment safety and food quality a long time [1]
It is conceivable and commendable to see into the sort of innovation that would offer assistance the agriculturists oversee their cultivating hones within the most effective way, subsequently fortifies the maintainable horticulture of China [4]. Data science, such an innovation, exists much obliged to the Fourth Mechanical Insurgency that involved the fast improvement of populace and computing, catering to the tremendous food request and maintainable farming framework [5]
We investigate the employ of data science and the method to employ in agriculture through its prediction in weather, yield, and capability to improve the soil quality
Summary
While experiencing rapid populace development, China has dealt with nourishment safety and food quality a long time [1]. To bargain with the expanding request for nourishment, the Chinese agrarian segment received the philosophy of "pollute first and clean up" [2] This method solves only gain short-term benefits, but irreversibly hurts land's sustainability and conducts severe pollution in the long run [3]. It is conceivable and commendable to see into the sort of innovation that would offer assistance the agriculturists oversee their cultivating hones within the most effective way, subsequently fortifies the maintainable horticulture of China [4] Data science, such an innovation, exists much obliged to the Fourth Mechanical Insurgency that involved the fast improvement of populace and computing, catering to the tremendous food request and maintainable farming framework [5]. We investigate the employ of data science and the method to employ in agriculture through its prediction in weather, yield, and capability to improve the soil quality
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