Extended Reality Simulators for Training Farmers in Crop-Specific Suitability Practices

The paper will analyze how virtual, augmented and mixed reality (VR) simulators could advance the
training of farmers on practices of the respective crops, towards sustainability with an intelligent algorithm
and applied in the area of simulators. Four models are vital models utilized by the system to make sustainability training modules, namely irrigational, soil management, pest control, and fertilization training, easier to use and achieve. These algorithms were used to derive data acquired under agricultural case studies with the aim of obtaining real environments of the crops. The experimental tests showed the more successful producers of the experimental involves of XR simulators were found 32 percent and 27 percent, and their adoption of sustainable farming practices was found 22 percent more successful. Also,
the usability tests revealed that the simulator was useful and was available since the degree of satisfaction
was 92%. Based on those findings, XR is a innovation and operational-scale-developed solution to the establishment of sustainable agriculture. The results it arrives at are based on the following conclusions: AI-based analytics and immersive learning can quite substantially enhance the technical competence of farmers and their environmental awareness and long-term agricultural stabilization.