AUTOMATED MICROPROPAGATED SUGARCANE SHOOT SEPARATION BY MACHINE VISION
1999
A prototype vision-guided separation mechanism for Stage 2 micropropagated sugarcane shoots was developed
and tested. Micropropagated sugarcane plantlets grown between parallel plates showed two-dimensional structure which
greatly simplified shoot identification using machine vision. Two identification methods were developed to locate the shoot
positions in the shoot clump image. The shoot locations identified by the vision system were used to guide a pair of stepper
motor-driven x-y tables to separate and transplant shoots. Machine vision algorithms and computer control algorithms
were developed, integrated, and tested in the prototype sugarcane shoot separation system. The best combination of
identification algorithm and separation method resulted in 85% of total shoots successfully separated. A set of shoots
separated by the vision-guided system and a second set manually separated were compared in continued culture. A total of
76% of shoots survived that were separated by the automated system versus 83% for manual separation.
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