Innovative Design of an Experimental Jasmine Flower Automated Picker System Using Vertical Gripper and YOLOv5

Mariam A. Amer (), Pradeep Rajan, Sherif Mehanny, Arkadiusz Artyszak and Mohamed A. A. Ahmed ()
Additional contact information
Mariam A. Amer: Agricultural Engineering Research Institute (AEnRI), Agricultural Research Center (ARC), Giza 12311, Egypt
Pradeep Rajan: CSIR—CMERI Centre of Excellence for Farm Machinery, Ludhiana 141006, India
Sherif Mehanny: Mechanical Design & Production, Faculty of Engineering, Cairo University, Cairo 12613, Egypt
Arkadiusz Artyszak: Institute of Agriculture, Warsaw University of Life Sciences–SGGW, Nowoursynowska 159, 02-776 Warsaw, Poland
Mohamed A. A. Ahmed: Plant Production Department (Horticulture—Medicinal and Aromatic Plants), Faculty of Agriculture (Saba Basha), Alexandria University, Alexandria 21531, Egypt

Agriculture, 2023, vol. 13, issue 8, 1-17

Abstract: Background: Recently, there has been a growing demand for the mechanization of flower harvesting to enhance harvesting efficiency. Therefore, the purpose of the current research was to design a jasmine flower automated picker system (JFAPS). The picking system incorporates a gripper that moves along the third vertical axis using an Intel depth camera and the You Only Look Once (YOLO-V5) deep learning system to locate and detect the flowers. Results: For different design cross-sections, it was observed that the least safe factor of design safety was considered high enough to marginalize any mechanical failure potential. Furthermore, according to the prediction box, the flowers’ center point on the pixel plane was detected, while the real vertical position of the flowers was computed using a deep learning system. Consequently, the gripper moves down to pick the flowers and convey them to the storage system. In these conditions, the detection method’s average precision and recall of flowers were 100% and 90%, respectively. Conclusions: The JFAPS was balanced and efficient in detecting flowers. Therefore, future efforts will be directed at evaluating this system and confirming its efficacy in collecting flowers on an experimental farm.

Keywords: CNC; gripper; harvester; jasmine; picker; YOLO algorithm (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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