KEYWORDS: Virtual reality, Technology, 3D modeling, Video, Standards development, Holography, Glasses, 3D displays, Systems modeling, Stereo vision systems
Under the background of information technology, virtual reality technology has gradually been applied to the field of education and training. Immersive VR can promote the progress of university education, realize the transformation of university education from two-dimensional flat teaching to three-dimensional three-dimensional teaching, and enhance the situational and contextual nature of classroom teaching. Interactivity. The application of VR technology in education can effectively improve the learning effect and enthusiasm of students. Students can independently choose their own learning time, learning location, and learning style, with stronger learning motivation and higher autonomy. This article is based on the establishment of an immersive interactive teaching platform and a teaching resource library so that users can better enter the learning atmosphere.
KEYWORDS: Data modeling, Agriculture, Information fusion, Sensors, Data processing, Systems modeling, Control systems, Standards development, Information visualization, Information operations
Nowadays, China's agricultural development has entered a new stage of transformation from traditional agriculture to highstandard farmland construction. The development of intelligent, high-standard and water-saving agriculture has become the development direction of modern agriculture. However, although my country’s agricultural sector has achieved a certain degree of mechanization, there are still pain points that are not water-saving, unintelligent, and non-interactive. It is urgent to strengthen the promotion and application of today’s advanced technologies in the agricultural field to achieve refined agricultural production management. To achieve the purpose of rational use of agricultural resources, reducing production costs, improving the ecological environment, and improving the quality and quality of agricultural products. Taking wheat planting as an example, this article focuses on the construction of digital twin farms. First, establish a health monitoring infnsor networks to collect farmland information and facilities operation. The rapid identification of the water; combined with meteorological and soil moisture data, the use of deep learning algorithms to build an information processing system based on multi-source data fusion, build a wheat digital twin information model, and carry out irrigation risk prediction; finally apply irrigation strategies on the wheat entity, The information model of wheat and the physical model are interacted, and the purpose of intelligent water-saving irrigation can be realized through multi-mode irrigation and fertilization control.
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