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Zero standby power crop water-stress detector leading to the optimization of water usage and yield
Agricultural sensors are powerful tools to optimize crop productivity while conserving natural resources. Here we report a crop water-stress detector based on a plasmonically-enhanced micromechanical photoswitch capable of detecting water content in leaves that is lower than a predetermined threshol...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308807/ https://www.ncbi.nlm.nih.gov/pubmed/35871178 http://dx.doi.org/10.1038/s41598-022-16419-5 |
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author | Risso, Antea Rajaram, Vageeswar Kang, Sungho Calisgan, Sila Deniz Pavese, Matilde Maria Qian, Zhenyun Rinaldi, Matteo |
author_facet | Risso, Antea Rajaram, Vageeswar Kang, Sungho Calisgan, Sila Deniz Pavese, Matilde Maria Qian, Zhenyun Rinaldi, Matteo |
author_sort | Risso, Antea |
collection | PubMed |
description | Agricultural sensors are powerful tools to optimize crop productivity while conserving natural resources. Here we report a crop water-stress detector based on a plasmonically-enhanced micromechanical photoswitch capable of detecting water content in leaves that is lower than a predetermined threshold without consuming electrical power when the leaf is healthy. The detection mechanism exploits the energy in a specific narrow-spectral band of solar radiation reflected off leaves that is strongly correlated to the water content in plants. This biosensor relies on a spectrally selective infrared plasmonic absorber and a thermally sensitive micro-cantilever to harvest the reflected solar energy and further produce a digitized wakeup-bit only when the monitored leaf is water-stressed. In particular, we demonstrate that the detector activates a commercial water pump when a soybean plant is water-stressed. The 10-year battery lifetime of the proposed detector pave the way for the development of high-granularity, maintenance-free sensor networks for large-scale smart-farms. |
format | Online Article Text |
id | pubmed-9308807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93088072022-07-25 Zero standby power crop water-stress detector leading to the optimization of water usage and yield Risso, Antea Rajaram, Vageeswar Kang, Sungho Calisgan, Sila Deniz Pavese, Matilde Maria Qian, Zhenyun Rinaldi, Matteo Sci Rep Article Agricultural sensors are powerful tools to optimize crop productivity while conserving natural resources. Here we report a crop water-stress detector based on a plasmonically-enhanced micromechanical photoswitch capable of detecting water content in leaves that is lower than a predetermined threshold without consuming electrical power when the leaf is healthy. The detection mechanism exploits the energy in a specific narrow-spectral band of solar radiation reflected off leaves that is strongly correlated to the water content in plants. This biosensor relies on a spectrally selective infrared plasmonic absorber and a thermally sensitive micro-cantilever to harvest the reflected solar energy and further produce a digitized wakeup-bit only when the monitored leaf is water-stressed. In particular, we demonstrate that the detector activates a commercial water pump when a soybean plant is water-stressed. The 10-year battery lifetime of the proposed detector pave the way for the development of high-granularity, maintenance-free sensor networks for large-scale smart-farms. Nature Publishing Group UK 2022-07-23 /pmc/articles/PMC9308807/ /pubmed/35871178 http://dx.doi.org/10.1038/s41598-022-16419-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Risso, Antea Rajaram, Vageeswar Kang, Sungho Calisgan, Sila Deniz Pavese, Matilde Maria Qian, Zhenyun Rinaldi, Matteo Zero standby power crop water-stress detector leading to the optimization of water usage and yield |
title | Zero standby power crop water-stress detector leading to the optimization of water usage and yield |
title_full | Zero standby power crop water-stress detector leading to the optimization of water usage and yield |
title_fullStr | Zero standby power crop water-stress detector leading to the optimization of water usage and yield |
title_full_unstemmed | Zero standby power crop water-stress detector leading to the optimization of water usage and yield |
title_short | Zero standby power crop water-stress detector leading to the optimization of water usage and yield |
title_sort | zero standby power crop water-stress detector leading to the optimization of water usage and yield |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9308807/ https://www.ncbi.nlm.nih.gov/pubmed/35871178 http://dx.doi.org/10.1038/s41598-022-16419-5 |
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