Cargando…
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537409/ https://www.ncbi.nlm.nih.gov/pubmed/37765962 http://dx.doi.org/10.3390/s23187905 |
_version_ | 1785113096106278912 |
---|---|
author | Ye, Weikang Zhao, Lin Luo, Xuan Guo, Junxian Liu, Xiangjiang |
author_facet | Ye, Weikang Zhao, Lin Luo, Xuan Guo, Junxian Liu, Xiangjiang |
author_sort | Ye, Weikang |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-10537409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105374092023-09-29 Perceptual Soft End-Effectors for Future Unmanned Agriculture Ye, Weikang Zhao, Lin Luo, Xuan Guo, Junxian Liu, Xiangjiang Sensors (Basel) Review 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. MDPI 2023-09-15 /pmc/articles/PMC10537409/ /pubmed/37765962 http://dx.doi.org/10.3390/s23187905 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Ye, Weikang Zhao, Lin Luo, Xuan Guo, Junxian Liu, Xiangjiang Perceptual Soft End-Effectors for Future Unmanned Agriculture |
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 | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537409/ https://www.ncbi.nlm.nih.gov/pubmed/37765962 http://dx.doi.org/10.3390/s23187905 |
work_keys_str_mv | AT yeweikang perceptualsoftendeffectorsforfutureunmannedagriculture AT zhaolin perceptualsoftendeffectorsforfutureunmannedagriculture AT luoxuan perceptualsoftendeffectorsforfutureunmannedagriculture AT guojunxian perceptualsoftendeffectorsforfutureunmannedagriculture AT liuxiangjiang perceptualsoftendeffectorsforfutureunmannedagriculture |