Designing an algorithm for pruning grapevine based on 3D image processing

Document Type : Research Paper


Accistant Professor , Biosystems Mechanical Engineering of Shiraz University


Using the intelligent pruning machine can be reduces the labor required for pruning. It was attempted in this study to develop an algorithm that uses stereo vision techniques to identify which parts of the grapevine should be cut. Photos were taken from gardens of the Research center for Agriculture and Natural Resources of Fars province. At first plants were segmented from the background then the main trunk and one year old branches were identified and pruned based on the criteria for pruning. Then the main skeleton of grapevine was determined. Using this skeleton, the attaching points of the branches were obtained as well as on the trunk. Distance between the branches was maintained. Then the algorithm has been evaluated, the evaluation results of algorithm showed that the proposed algorithm had acceptable performance and pruning point of the grapevines were correctly detected. The accuracy of the developed algorithm was 96.8 percent.


Main Subjects

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