Perceptual Soft End-Effectors for Future Unmanned Agriculture
As consumers demand ever-higher quality standards for agricultural products, the inspection of such goods has become an integral component of the agricultural production process. Unfortunately, traditional testing methods necessitate the deployment of numerous bulky machines and cannot accurately de...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-09-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/18/7905 |
| _version_ | 1797576944439525376 |
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| author | Weikang Ye Lin Zhao Xuan Luo Junxian Guo Xiangjiang Liu |
| author_facet | Weikang Ye Lin Zhao Xuan Luo Junxian Guo Xiangjiang Liu |
| author_sort | Weikang Ye |
| collection | DOAJ |
| description | As consumers demand ever-higher quality standards for agricultural products, the inspection of such goods has become an integral component of the agricultural production process. Unfortunately, traditional testing methods necessitate the deployment of numerous bulky machines and cannot accurately determine the quality of produce prior to harvest. In recent years, with the advancement of soft robot technology, stretchable electronic technology, and material science, integrating flexible plant wearable sensors on soft end-effectors has been considered an attractive solution to these problems. This paper critically reviews soft end-effectors, selecting the appropriate drive mode according to the challenges and application scenarios in agriculture: electrically driven, fluid power, and smart material actuators. In addition, a presentation of various sensors installed on soft end-effectors specifically designed for agricultural applications is provided. These sensors include strain, temperature, humidity, and chemical sensors. Lastly, an in-depth analysis is conducted on the significance of implementing soft end-effectors in agriculture as well as the potential opportunities and challenges that will arise in the future. |
| first_indexed | 2024-03-10T22:00:59Z |
| format | Article |
| id | doaj.art-08899cbf04b1436db9b19163e3a63301 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T22:00:59Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-08899cbf04b1436db9b19163e3a633012023-11-19T12:55:52ZengMDPI AGSensors1424-82202023-09-012318790510.3390/s23187905Perceptual Soft End-Effectors for Future Unmanned AgricultureWeikang Ye0Lin Zhao1Xuan Luo2Junxian Guo3Xiangjiang Liu4College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaCollege of Mechanical Engineering, Xinjiang Agricultural University, Urumqi 830052, ChinaCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, ChinaAs consumers demand ever-higher quality standards for agricultural products, the inspection of such goods has become an integral component of the agricultural production process. Unfortunately, traditional testing methods necessitate the deployment of numerous bulky machines and cannot accurately determine the quality of produce prior to harvest. In recent years, with the advancement of soft robot technology, stretchable electronic technology, and material science, integrating flexible plant wearable sensors on soft end-effectors has been considered an attractive solution to these problems. This paper critically reviews soft end-effectors, selecting the appropriate drive mode according to the challenges and application scenarios in agriculture: electrically driven, fluid power, and smart material actuators. In addition, a presentation of various sensors installed on soft end-effectors specifically designed for agricultural applications is provided. These sensors include strain, temperature, humidity, and chemical sensors. Lastly, an in-depth analysis is conducted on the significance of implementing soft end-effectors in agriculture as well as the potential opportunities and challenges that will arise in the future.https://www.mdpi.com/1424-8220/23/18/7905softend-effectorperceptualsensor |
| spellingShingle | Weikang Ye Lin Zhao Xuan Luo Junxian Guo Xiangjiang Liu Perceptual Soft End-Effectors for Future Unmanned Agriculture Sensors soft end-effector perceptual sensor |
| title | Perceptual Soft End-Effectors for Future Unmanned Agriculture |
| title_full | Perceptual Soft End-Effectors for Future Unmanned Agriculture |
| title_fullStr | Perceptual Soft End-Effectors for Future Unmanned Agriculture |
| title_full_unstemmed | Perceptual Soft End-Effectors for Future Unmanned Agriculture |
| title_short | Perceptual Soft End-Effectors for Future Unmanned Agriculture |
| title_sort | perceptual soft end effectors for future unmanned agriculture |
| topic | soft end-effector perceptual sensor |
| url | https://www.mdpi.com/1424-8220/23/18/7905 |
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