SHS Web Conf.
Volume 154, 20232022 International Conference on Public Service, Economic Management and Sustainable Development (PESD 2022)
|Number of page(s)||7|
|Section||2. Economic Management and Production Development Planning|
|Published online||11 January 2023|
- Liakos, Konstantinos G., Patrizia Busato, Dimitrios Moshou, Simon Pearson, and Dionysis Bochtis. 2018. “Machine Learning in Agriculture: A Review” Sensors 18, no. 8: 2674. https://doi.org/10.3390/s18082674 [Google Scholar]
- Huang Sihai. Research on technical support system of agricultural science and technology park [D]. Hunan Agricultural University,2018. [Google Scholar]
- Guo Leifeng. Research on key technologies of big data for agricultural field[D]. China Academy of Agricultural Sciences,2016. [Google Scholar]
- Han X. Research on “Internet+” agricultural organization model and operation mechanism[D]. China Agricultural University,2017. [Google Scholar]
- Zhuang Xuehua. Research on bottlenecks and countermeasures of transformation of agricultural science and technology achievements[D]. Hunan Agricultural University,2016. [Google Scholar]
- Xu Dandan. Research on the sustainable development of rural finance in China [D]. Jilin University, 2013. [Google Scholar]
- Wei Xin. Research on the control of agricultural surface pollution in China[D]. Northwest Agriculture and Forestry University of Science and Technology, 2014. [Google Scholar]
- Zhu Jianchun. Study on the resource utilization of agricultural waste in Shaanxi [D]. Northwest Agriculture and Forestry University of Science and Technology, 2014. [Google Scholar]
- Liu YJ. Analysis of factors influencing irrigation water utilization efficiency based on principal component analysis and multiple linear regression analysis [D]. Inner Mongolia Agricultural University, 2014. [Google Scholar]
- Gao Lulu. Analysis of factors influencing grain yield based on multiple linear regression[D]. Chongqing Normal University,2018. [Google Scholar]
- Shang Yuxin. Research on the construction of regional brand of Xinjiang special agricultural products[D]. Shandong University,2019. [Google Scholar]
- Nordin, H. M., & Fatimah, S. (2011). A mathematical programming approach to crop mix problem. African Journal of Agricultural Research, 6(1),191-197. [Google Scholar]
- Yang H-M, Pan C-S, Bai W. A review of time series forecasting methods[J]. Computer Science, 2019, 46(01): 21-28. [Google Scholar]
- Jia MZ. Research and application of time-series analysis methods based on machine learning[D]. Xi’an University of Science and Technology, 2020. [Google Scholar]
- Dtsch Arztebl Int. 2010 Nov; 107(44):776–782.doi: 10.3238/arztebl.2010.0776 [Google Scholar]
- Li Jun. Multiple linear regression method based on factor analysis and its application in stock price prediction [D]. Nanjing University,2014. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.