Abstract
In the present society, we have gradually begun to use computer technology for the study of the development of agriculture and research. We also began to use computers for research on the computational studies of e-commerce profitability evaluation for agricultural products. Through computer computing research, it will be more convenient and fast to analyze and research the profitability of agricultural products in e-commerce. This paper uses the grey forecasting algorithm to evaluate the profitability of e-commerce in agricultural products. It is one of the directions for the above problems, and it has gradually achieved good results. Through our testing of the algorithm, we find that the algorithm is highly reliable in the calculation and use of this paper.
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Acknowledgements
Jilin provincial department of education “13th five-year” social science project “research on cross-border e-commerce development strategy of jilin province agricultural products export from the perspective of ‘One Belt And One Road’ (JJKH20190777SK)”;Research project of jilin normal university of engineering and technology “research on restricting factors and coping strategies of rural e-commerce development in jilin province (XYB201831)”.
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Liu, S. (2021). E-Commerce Profit Evaluation of Agricultural Products Based on Grey Prediction Algorithm. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_5
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DOI: https://doi.org/10.1007/978-3-030-51431-0_5
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