DETECTION OF CHERRY ON TREE ABSTRACT
Abstract
In this study, the difficulties of the cherry producers during the cherry harvesting were investigated. In the view of the information obtained from the producers of cherries, the problem of determining the location of the cherries, where the cherries are located, has been solved by the image processing method.
Cherry is a fruit that has a very short harvest time. Because of the unfavorable nature of the land where the trees are located, the use of autonomous systems in the cherry harvesting process can make it easier for the harvesters to harvest. When the details of the cherry picking process are evaluated, it has been seen that such an autonomous machine should solve three successive problems, such as determining the cherry, determining the coordinates of the cherry and breaking the cherry in the determined chord. In this study, an application related to the detection of the cherry which is the primary of these problems is designed with image processing method. As a controller, Raspberry Pi 3 card is used for image processing and in software side, C software language, QT Creator compiler and OpenCV library are used.
As
a result, when there is no high backlight, the detection of the cherry, that
reaches the harvestable level, in the tree has been achieved with 100% success.
However, in the case of high backlight, the system could not detect it because
it was darker than the cherry
Keywords
Cherry picking,Intelligent cherry picking machine,image processing
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