(5) In the laboratory, the mechanical part and control part were
tested. The results show that the strawberry classification algorithm
is designed viable and accurately. Strawberry size error
is less than 5%, the colour grading accuracy rate is 88.8%, and
the shape classification accuracy rate is over 90%. The average
time to grade one strawberry is no more than 3 s.
(6) The strawberries in this automated grading system are put on
the belt manually. In further researches, the strawberries could
be transported automatically in order to improve the automation.
Conflict of interest
No conflict of interest.