<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>China is in the critical period of “four synchronous development” of industrialization, informatization, urbanization, and agricultural modernization, so it is urgent to find a correct, scientific, and reasonable development strategy for modern agricultural products and promote the development of big data agriculture. In this paper, we use big data technology to determine the algorithm model of agricultural big data technology and the application system of the agricultural Internet of Things and argue for big data for agricultural planting technology, agricultural economic management, and agricultural industry upgrading in order to find the optimal strategy for the development of modern agriculture in China. As of the statistics at the end of 2019, China’s arable land transfer area has reached 440 million mu, accounting for 30.8% of the total contracted arable land area. With the subsequent land transfer entering a standardized and normalized stage, the scale operation of agricultural production is bound to speed up. In recent years, due to the application of big data technology in agricultural production, China’s modern agricultural industry has developed rapidly, with the mechanization rate of farming at around 86% and the contribution rate of science and technology at over 67%, and agricultural production has gained breakthroughs nationwide. Thus, it can be seen that the modern agricultural industry in the context of big data will usher in new development opportunities.</p>
</abstract>

China is in the critical period of “four synchronous development” of industrialization, informatization, urbanization, and agricultural modernization, so it is urgent to find a correct, scientific, and reasonable development strategy for modern agricultural products and promote the development of big data agriculture. In this paper, we use big data technology to determine the algorithm model of agricultural big data technology and the application system of the agricultural Internet of Things and argue for big data for agricultural planting technology, agricultural economic management, and agricultural industry upgrading in order to find the optimal strategy for the development of modern agriculture in China. As of the statistics at the end of 2019, China’s arable land transfer area has reached 440 million mu, accounting for 30.8% of the total contracted arable land area. With the subsequent land transfer entering a standardized and normalized stage, the scale operation of agricultural production is bound to speed up. In recent years, due to the application of big data technology in agricultural production, China’s modern agricultural industry has developed rapidly, with the mechanization rate of farming at around 86% and the contribution rate of science and technology at over 67%, and agricultural production has gained breakthroughs nationwide. Thus, it can be seen that the modern agricultural industry in the context of big data will usher in new development opportunities.

Thinking about the strategy and practice path of modern agricultural industry development in the context of big data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

China is in the critical period of “four synchronous development” of industrialization, informatization, urbanization, and agricultural modernization, so it is...

Thinking about the strategy and practice path of modern agricultural industry development in the context of big data

Publicado en línea: 06 jun 2023

Páginas: -

Recibido: 06 jul 2022

Aceptado: 12 dic 2022

DOI: https://doi.org/10.2478/amns.2023.1.00360

Palabras clave
Big data, Agricultural internet of things, Modern agricultural industry, Agricultural economic management

© 2023 Yanjun Zhao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Thinking about the strategy and practice path of modern agricultural industry development in the context of big data

Publicado en línea: 06 jun 2023

Páginas: -

Recibido: 06 jul 2022

Aceptado: 12 dic 2022

DOI: https://doi.org/10.2478/amns.2023.1.00360

Palabras claveBig data, Agricultural internet of things, Modern agricultural industry, Agricultural economic management

© 2023 Yanjun Zhao, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Palabras clave
Big data, Agricultural internet of things, Modern agricultural industry, Agricultural economic management