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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...

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Detalles Bibliográficos
Autores principales: Ye, Weikang, Zhao, Lin, Luo, Xuan, Guo, Junxian, Liu, Xiangjiang
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
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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.
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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
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