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Marketing Problems of Agricultural Products in China Based on Intelligent Search

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Book cover 2020 International Conference on Applications and Techniques in Cyber Intelligence (ATCI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1244))

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Abstract

Agricultural product sales is an integrated business process. In this process, agricultural product producers and operators exchange consumer needs in order to achieve their business goals in a constantly changing market environment. Intelligent search in e-commerce uses information as a carrier to realize the digital management of economic activities. China’s intelligent search for agricultural products is still imperfect. In this regard, this article studies agricultural marketing under intelligent search. The literature analysis method adopted in this article will be carried through the whole process. Perform a SWOT analysis of the Chinese agricultural product market through intelligent search to identify existing problems and propose countermeasures. It can be seen from the data that 50–90% of the fresh agricultural products consumed in large and medium-sized cities are provided through wholesale markets. Agricultural product marketing can only effectively use modern information technology to capture consumer demand information in a rapidly changing market. And provide consumers with appropriate agricultural products in an appropriate manner.

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References

  1. Weihua, G., Zhang, T., Zhu, Y.: On countermeasures of promoting agricultural products’ e-commerce in China. IFIP Adv. Inf. Comm. Technol. 345, 579–586 (2017)

    Google Scholar 

  2. Ma, C., Wang, D., Hu, Z., Li, Z.: Considerations of constructing quality, health and safety management system for agricultural products sold via e-commerce. Int. J. Agric. Biol. Eng. 11(1), 31–39 (2018)

    Google Scholar 

  3. Darani, H.R., Kohansal, M.R., Ghorbani, M., Saboohi, M.: An integrated hydro-economic modeling to evaluate marketing reform policies of agricultural products. Bulg. J. Agric. Sci. 23(2), 189–197 (2017)

    Google Scholar 

  4. Tarekegn, K., Haji, J., Tegegne, B.: Determinants of honey producer market outlet choice in Chena district, Southern Ethiopia: a multivariate probit regression analysis. Agric. Food Econ. 5(1), 20 (2017)

    Article  Google Scholar 

  5. Ruprah, I.J., Schimanski, C., Chagalj, C.: Gender-based educational and occupational segregation in the Caribbean. IDB Publications (Working Papers). 40(5), 1325–1352 (2018)

    Google Scholar 

  6. Brorsen, B.W., Fain, J.R., Maples, J.G.: Alternative policy responses to increased use of formula pricing. Nephron Clin. Pract. 16(1), 387–395 (2017)

    Google Scholar 

  7. Pesteanu, A.: Effects of ethephon application on color development of ‘Gala Must’ apples. Bull. Univ. Agric. Sci. Veterinary Medicine Cluj-Napoca. Horticulture 74(1), 26 (2017)

    Google Scholar 

  8. Wang, X., Yang, W., Li, M., Zheng, L., Chen, Y.: Remote intelligent management system for soil sampling based on 3S, Zigbee and radio frequency identification. Nongye Gongcheng Xuebao/Trans. Chin. Soc. Agric. Eng. 33, 143–149 (2017)

    Google Scholar 

  9. Ren, D., Song, W., Ge, Z.: The study of agricultural intellectual property and intelligent agriculture development strategies in China. J. Serv. Sci. Manag. 10(3), 230–250 (2017)

    Google Scholar 

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Correspondence to Shuting Wang .

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Wang, S. (2021). Marketing Problems of Agricultural Products in China Based on Intelligent Search. In: Abawajy, J., Choo, KK., Xu, Z., Atiquzzaman, M. (eds) 2020 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2020. Advances in Intelligent Systems and Computing, vol 1244. Springer, Cham. https://doi.org/10.1007/978-3-030-53980-1_9

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