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Research into the E-Learning Model of Agriculture Technology Companies: Analysis by Deep Learning

College of Business, Minnan Normal University, Quzhou, Fujian 363000, China
Department of Banking & Finance, University of Culture, Taipei, Taiwan 111, China
College of Management, Taipei University of Science, Taipei, Taiwan 111, China
College of Literature and Media, Yulin Normal University, Yulin, Guangxi 537000, China
Department of Banking & Finance, University of Culture, Taipei, Taiwan 111, China
Author to whom correspondence should be addressed.
Agronomy 2019, 9(2), 83;
Received: 18 November 2018 / Revised: 28 December 2018 / Accepted: 30 December 2018 / Published: 13 February 2019
(This article belongs to the Special Issue Deep Learning Techniques for Agronomy Applications)
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With the advancement of technology, the traditional e-learning model may expand the realm of knowledge and differentiate learning by means of deep learning (DL) and augmented reality (AR) scenarios. These scenarios make use of interactive interfaces that incorporate various operating methods, angles, perceptions, and experiences, and also draw on multimedia content and active interactive models. Modern education emphasizes that learning should occur in the process of constructing knowledge scenarios and should proceed through learning scenarios and activities. Compared to traditional “spoon-feeding” education, the model learning scenario is initiated with the learner at the center, allowing the person involved in the learning activity to solve problems and further develop their individual capabilities through exploring, thinking and a series of interactions and feedback. This study examined how students in the agriculture technological industry make use of AR digital learning to develop their industry-related knowledge and techniques to become stronger and more mature so that they unconsciously apply these techniques as employees, as well as encouraging innovative thought and methods to create new value for the enterprise. View Full-Text
Keywords: augmented reality (AR); deep learning (DL); agriculture technology augmented reality (AR); deep learning (DL); agriculture technology

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Lin, C.-H.; Wang, W.-C.; Liu, C.-Y.; Pan, P.-N.; Pan, H.-R. Research into the E-Learning Model of Agriculture Technology Companies: Analysis by Deep Learning. Agronomy 2019, 9, 83.

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