Abstract
The development of artificial intelligence is changing our living conditions and consumption patterns, and then it has a profound impact on the traditional marketing methods. But at present, there are few researches on the application of artificial intelligence in agricultural product marketing. The purpose of this paper is to explore the effective channel of agricultural product marketing based on artificial intelligence. Explore the marketing channels of agricultural products, carry out field visits and personal interviews with agricultural enterprises and self-employed households, conduct questionnaire surveys on consumers, and use the survey data to analyze, to explore the prospects and obstacles of new media marketing of agricultural products. The experimental results show that 100% of consumers who choose to buy agricultural products online will choose supermarkets or convenience stores, but the proportion of consumers who choose wholesale market of agricultural products trade is 0%. Only 32.6% of consumers also choose to buy in the mobile vegetable market, while those who do not choose to buy agricultural products online basically choose supermarkets or convenience stores. The proportion of consumers who choose the wholesale market of agricultural products trade is 0%. Good new media marketing can open up the main battlefield of offline stores, supermarkets and convenience stores, which is an effective way to cultivate loyal consumers.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Meyer, P.: Will the show go on?: a marketing concept analysis of the management effectiveness of agricultural show societies in Australia. Curator Mus. J. 56(2), 273–278 (2017)
Ramirez, F.J., Parra-Requena, G., Ruiz-Ortega, M.J.: From external information to marketing innovation: the mediating role of product and organizational innovation. J. Bus. Ind. Market. 33(1) (2018)
Wu, L., Liu, Q., Hong, R.: Product adoption rate prediction in a competitive market. IEEE Trans. Knowl. Data Eng. 30(2), 325–338 (2017)
Horta, P.M., Rodrigues, F.T., Dos Santos, L.C.: Ultra-processed food product brands on Facebook pages: highly accessed by Brazilians through their marketing techniques. Public Health Nutr. 21(8), 1–5 (2018)
Kashmiri, S., Nicol, C.D., Arora, S.: Me, myself, and I: influence of CEO narcissism on firms’ innovation strategy and the likelihood of product-harm crises. J. Acad. Market. Sci. 45(3), 1–24 (2017)
Fuentes Blasco, M., Moliner-Velázquez, B., Servera-Francés, D.: Role of marketing and technological innovation on store equity, satisfaction and word-of-mouth in retailing. J. Prod. Brand Manag. 26(3) (2017)
Patrick, V.M., Atefi, Y., Hagvedt, H.: The allure of the hidden: how product unveiling confers value. Int. J. Res. Market. 34(2), 430–441 (2017)
Rahman, O., Fung, B.C.M., Chen, Z.: A cross-national study of apparel consumer preferences and the role of product evaluative cues. Asia Pacific J. Market. Logistics 29(4), 796–812 (2017)
Tabatabaei, S.V.A., Ardabili, H.E., Haghdoost, A.A.: Promoting physical activity in Iranian women: a qualitative study using social marketing. Electron. Physician 9(9), 5279–5286 (2017)
Carsana, L., Jolibert, A.: The influence of brand schematicity on the importance of product cues: self purchasing versus gift giving situations. J. Consumer Market. 26(3), 80–90 (2017)
Wang, Q.: Agricultural products processing characteristics and quality evaluation. J. Integr. Agric. 17(5), 975–976 (2018)
Zayats, M.F., Leschev, S.M.: A distribution chromatography method for the identification of pesticides in their mixtures and agricultural products. J. Anal. Chem. 73(5), 486–496 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Liu, C. (2020). The Effective Marketing Channels of Agricultural Products in the Artificial Intelligence Environment. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1146. Springer, Cham. https://doi.org/10.1007/978-3-030-43306-2_98
Download citation
DOI: https://doi.org/10.1007/978-3-030-43306-2_98
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43305-5
Online ISBN: 978-3-030-43306-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)