Seedling　Transplanter　is　an　important　and　representative　automatic　agriculture　machine　used　in　greenhouse　planting.　During　the　transplanting　process,　it＇s　crucial　to　find　the　disease　seedling　and　pick　it　from　the　plug　tray　in　order　to　prevent　diseases　and　pests　diffusion.　In　this　paper,　one　intelligent　recognition　and　judge　system　for　disease　seedling　is　presented　based　on　Machine　Vision　technique.　Acquire　the　disease　seedling　sample　is　the　premise　for　the　veracity　of　the　vision　system　and　this　is　done　with　the　help　of　agriculture　exports.　In　one　transplanting　step,　four　seedlings　are　extracted　from　the　tray　and　taken　photo　in　one　picture.　Through　Image　Processing,　the　characteristic　of　each　seedling　is　obtained　and　used　to　be　compared　with　the　disease　seedling　samples.　With　the　intelligent　recognition　arithmetic,　Support　Vector　Machines,　the　vision　system　has　more　automatic　and　higher　efficiency.　©　2012　Springer-Verlag　Berlin　Heidelberg.