Yu, L., Qin, H. and Xiang, P. (2020) Incentive Mechanism of Different Agricultural Models to Agricultural Technology Information Management System. Sustainable Computing: Informatics and Systems, 28, Article ID: 100423.
https://doi.org/10.1016/j.suscom.2020.100423

has been cited by the following article:

• TITLE: Agriculture Technology as a Tool to Influence Youth Farming in Ghana

  AUTHORS: Benjamin Danso Kwakye, Robert Brenya, Derrick Acquanah Cudjoe, Agyemang Kwasi Sampene, Fredrick Oteng Agyeman

  KEYWORDS: Agriculture, Explanatory Factor Analysis, Structural Equation Modeling, Technology, Youth Farming

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.11 No.8, August 19, 2021

  ABSTRACT: The extent of engagement of the youth going into farming is steadily seen as the modern-day panacea for sustainability and extenuation of food insecurity. Yet, this plodding-shift of the youth has opened new doors for a different problem that needs efficient agricultural resolution. The study examines the correlation between youth farming and the various factors that influence the youth to go into agriculture using data obtained from the Ghanaian youth. We applied Explanatory Factor Analysis (EFA) of the paradigms, with principal component factoring. The results justified using Confirmatory Factor Analysis (CFA) in AMOS and R. The results showed that technology outperforms factors such as motivation, economics, and government policies to significantly influence the youth towards farming. Attitude and knowledge were also found to have an indirect influence on youth farming. The paper contributes to the theoretical influence of technology on the youth and on the practicality of agricultural farming.