Design of a Tomato Sorting Device Based on the Multisine-FSR Composite Measurement

Author:

Yang Zizhao1,Amin Ahmed12,Zhang Yongnian1,Wang Xiaochan1ORCID,Chen Guangming1,Abdelhamid Mahmoud A.3ORCID

Affiliation:

1. College of Engineering, Nanjing Agricultural University, Nanjing 210031, China

2. Agricultural Engineering Research Institute (AEnRI), Agricultural Research Center (ARC), Giza 12311, Egypt

3. Department of Agricultural Engineering, Faculty of Agriculture, Ain Shams University, Cairo 11566, Egypt

Abstract

The ripeness of tomatoes is crucial to determining their shelf life and quality. Most of the current methods for picking and sorting tomatoes take a long time, so this paper aims to design a device for sorting tomatoes based on force and bioelectrical impedance measurement. A force sensor installed on each of its four fingers may be used as an impedance measurement electrode. When picking tomatoes, the electrical impedance analysis circuit is first connected for pre-grasping. By applying a certain pre-tightening force, the FSR sensor on the end effector finger can be tightly attached to the tomato and establish an electric current pathway. Then, the electrical parameters of the tomato are measured to determine its maturity, and some of the electrical parameters are used for force monitoring compensation. Then, a force analysis is conducted to consider the resistance of the FSR under current stress. According to the principle of complex impedance circuit voltage division, the voltage signal on the tomato is determined. At the same time, the specific value of the grasping force at this time is determined based on the calibration of the pre-experiment and the compensation during the detection process, achieving real-time detection of the grasping force. The bioelectricity parameters of tomatoes can not only judge the ripeness of tomatoes, but also compensate for the force measurement stage to achieve more accurate non-destructive sorting. The experimental results showed that within 0.6 s of stable grasping, this system could complete tomato ripeness detection, improve the overall tomato sorting efficiency, and achieve 95% accuracy in identifying ripeness through impedance.

Funder

Jiangsu Agricultural Science and Technology Innovation Fund Project

Fundamental Research Funds for the Central Universities

Key R&D Program of Jiangsu Province

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Reference35 articles.

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3. Ansari, S., and Bhattacharya, B. (2022, January 7–9). Design and Development of a Tomato Picking Soft Robotic Gripper with a Separator and Mechanical Iris Based Pedicel Cutting Mechanism. Proceedings of the 6th International Conference on System-Integrated Intelligence (SysInt), Genova, Italy.

4. Guan, Z., Li, H., Zuo, Z., and Libo, P. (2022, January 22–24). Design a Robot System for Tomato Picking Based on YOLO v5. Proceedings of the 16th IFAC Symposium on Large Scale Complex Systems—Theory and Applications (LSS), Xi’an, China.

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