Abstract
With the rise of big data and intelligent manufacturing in recent years, agricultural production in the traditional way of operation has been linked with wisdom gradually. Especially after the rise of the rural revitalization strategy, the key to achieving rural revitalization lies in solving the problems of agriculture, rural areas and farmers. It is inseparable from the intelligent management model and advanced technology to improve the efficiency of agricultural production. It has changed the agricultural production by establishing an intelligent management platform, which can accelerate land transfer and form an intensive agricultural land management model. This paper uses Chinese national panel data from 2002 to 2017 combining quantile regression to examine whether farmland scale can improve production efficiency in the background of smart agriculture. Finally, we will propose relevant policy recommendations based on empirical test results.
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Wu, B. (2021). Large-Scale Farmland Management on Improving Production Efficiency Under the Background of Smart Agriculture-Based on Panel Quantile Regression. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_46
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DOI: https://doi.org/10.1007/978-3-030-62746-1_46
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