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Identification and Analysis of Strawberries' Consumer Opinions on Twitter for Marketing Purposes
2021
Agronomy
Data are currently characterized as the world's most valuable resource and agriculture is responding to this global trend. The challenge in that particular field of study is to create a Digital Agriculture that help the agri-food sector grow in a fair, competitive environment. As automated machine learning techniques and big data are global research trends in agronomy, this paper aims at comparing different marketing techniques based on Content Analysis to determine the feasibility of using
doi:10.3390/agronomy11040809
fatcat:llkn255firhevcdkxmacdnlo2i