Advances in Technologies and Equipment for Potato Seed-Metering Quality Detection and Reseeding

Abstract

Fast and accurate detection of missed and multiple seeding, followed by timely correction, is needed to maintain potato planting quality. Photoelectric, laser, capacitive, and machine vision methods have been developed for defect detection. Backup metering channels, catch-up compensation, in situ release, preparatory seed belts, and electric reseeding devices have also been used for correction. However, stable field use remains limited. Reported outcomes often cover detection accuracy, model performance, or single-action success, but end-to-end verification from defect detection through reseeding to outcome checking is not consistently available. Using a structured search of international and Chinese databases and citation screening, this review synthesized 88 publications published by 1 June 2026. The review compares the principles, reported performance, and operating conditions of the main detection methods and considers planting-quality control and reseeding in a broader agronomic context. Photoelectric and capacitive sensors generally produce clear event signals with simple processing. Machine vision provides more detailed class and position information but is more sensitive to lighting, occlusion, vibration, and computing delay. The analysis shows that high detection accuracy alone does not ensure reliable field correction. Performance also depends on sensor position, space-time matching, reseeding method, actuator response, and post-action checking. Future studies should use a wider set of metrics, conduct longer field tests under varied conditions, and improve the coordination of detection, control, actuation, and verification. These comparisons can inform sensor selection, correction-system design, and field evaluation protocols for potato seed-metering detection and reseeding systems.