This study was conducted to develop an algorithm for the embryo location in seed by using machine vision. The topic of this research is to detect the embryo location in seed regardless of seed supply direction. In order to detect the embryo location in Cham Bak, Tuktojwa and Hukjong, the effect of seed posture in the supply line was investigated. When the seed posture angle of Chambak from horizontal direction was $30^{circ}$, the detection accuracy for embryo location was 77.8%, while detection accuracy was 100% for the $0^{circ}$ or $15^{circ}$. When seed posture angle of Tuktojwa was $30^{circ}$ from the horizontal direction, the detection accuracy was 89.5% and it was 100% for the $0^{circ}$ and $15^{circ}$. Embryo location detection accuracy for the Hukjong was 94.4% when the seed posture angle from the horizontal direction is $30^{circ}$, and it was 100% for the $0^{circ}$ and $15^{circ}$. When seeds are fed into the posturing and seeding line, the seed postures within $30^{circ}$ with mechanical means, and at most $15^{circ}$ seed stand posture. the developed algorithm can detect the embryo position in the seed. So, this embryo detection system is very useful tool in the posturing and seeding line.