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Automated Tomato Inspection and Harvesting System Using Robotic Arm and Computer Vision in Greenhouses

文献类型： 会议论文

第一作者： Gaby Abou Haidar

作者： Gaby Abou Haidar 1 ; Maher Alaa Deen 1 ; Roger Achkar 1 ; Michel Owayjan 1 ; Roy Abi Zeid Daou 2 ;

作者机构： 1.Department of Mechatronics Engineering, American University of Science and Technology, Zahle, Lebanon

2.Department of Mechatronics Engineering, Sagesse University, Beirut, Lebanon

关键词： Computer vision;Software libraries;Crops;Spraying;Greenhouses;Production;Task analysis

会议名称： International Conference on Advances in Computational Tools for Engineering Applications

主办单位：

页码： 183-189

摘要： This paper discusses the development of an advanced robotic system equipped with a computer vision system for use in greenhouses to identify and harvest ripe, unripe, and diseased tomatoes. The system operates in two modes, harvesting and pruning, and is implemented using a raspberry pi and free software libraries such as Python, OpenCV, and PyTorch. The vision system utilizes YOLOv3 deep neural network for classification and MiDaS for depth estimation, and a graphical user interface is included for communication with the farmer.

分类号： tp301.6-53

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