Development of an Automatic Seeding System Using Machine Vision for Seed Line-up of Cucurbitaceous Vegetables
2007
Kim, D.E. (National Institute of Agricultural Engineering, RDA, Suwon, Republic of Korea), E-mail: [email protected] | Cho, H.K. (Chungbuk National University, Cheongju, Republic of Korea) | Chang, Y.S. (National Institute of Agricultural Engineering, RDA, Suwon, Republic of Korea) | Kim, J.G. (National Institute of Agricultural Engineering, RDA, Suwon, Republic of Korea) | Kim, H.H. (National Institute of Agricultural Engineering, RDA, Suwon, Republic of Korea) | Son, J.R. (National Institute of Agricultural Engineering, RDA, Suwon, Republic of Korea)
Most of the seeds of cucurbitaceous rootstock species used for grafting were mainly sown by hand. This study was carried out to develop an on-line discriminating algorithm of seed direction using machine vision and an automatic seeding system. The seeding system was composed of a supplying device, feeding device, machine vision system, reversing device, seeding device and system control section. Machine vision was composed of a color CCD camera, frame grabber, image inspection chamber, lighting and personal computer.
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