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Optimization of Machine Vision for Tomato Grafting Robot

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In order to develop fully-automatic grafting robot for tomato seedlings, the machine vision system for sorting grafting seedling and inspecting grafted seedling was studied. In this paper, the devices and different lighting (Front lighting, Backlight, and both Front lighting and Backlight) of machine vision system were optimized and selected. The result shows that Blue Backlight without filter device is best for both sorting and inspecting seedlings. Then the images of sorting and inspecting seedlings were acquired using the selected machine vision system and processed by the program. Experiment results show the success rate on processing the images of sorting seedlings can reach 96% and even the gap of 0.2 mm between scion and rootstock can be found easily when inspecting grafted seedling.
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Document Type: Research Article

Publication date: June 1, 2013

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  • The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
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