Development and field evaluation of a VR/AR‐based remotely controlled system for a two‐wheel paddy transplanter

Abstract

AbstractOperating a two‐wheel paddy transplanter traditionally poses physical strain and cognitive workload challenges for farm workers, especially during headland turns. This study introduces a virtual reality (VR)/augmented reality (AR)based remote‐control system for a two‐wheel paddy transplanter to resolve these issues. The system replaces manual controls with VR interfaces, integrating gear motors and an electronic control unit. Front and rear‐view cameras provide real‐time field perception on light‐emitting diode screens, displaying path trajectories via an autopilot controller and real‐time kinematic global navigation satellite systems module. Human operators manipulate the machine using a hand‐held remote controller while observing live camera feeds and path navigation trajectories. The study found that forward speed necessitated optimization within manageable limits of 1.75–2.00 km h−1 for walk‐behind types and 2.00–2.25 km h−1 for remote‐controlled systems. While higher speeds enhanced field capacity by 11.67%–12.95%, they also resulted in 0.74%–1.17% lower field efficiency. Additionally, Operators' physiological workload analysis revealed significant differences between walk‐behind and remotely controlled operators. Significant differences in energy expenditure rate (EER) were observed between walk‐behind and remote‐controlled paddy transplanters, with EER values ranging from 8.20 ± 0.80 to 27.67 ± 0.45 kJ min⁻¹ and 7.56 ± 0.55 to 9.72 ± 0.37 kJ min⁻¹, respectively (p < 0.05). Overall, the VR‐based remote‐control system shows promise in enhancing operational efficiency and reducing physical strain in paddy transplanting operations.