Development of Seeding Rate Monitoring System Applicable to a Mechanical Pot-Seeding Machine
Seung-Jun Kim,
Hyeon-Seung Lee,
Seok-Joon Hwang
et al.
Abstract:In this study, we developed a monitoring system to accurately track the seeding rate and to identify the locations where the mechanical pot-seeding machine failed to sow seeds correctly. The monitoring system employs diverse image processing techniques, including the Hough transform, hue–saturation–value color space conversion, image morphology techniques, and Gaussian blur, to accurately pinpoint the seeding rate and the locations where seeds are missing. To determine the optimal operating conditions for the … Show more
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