The Electrochemical Society, find out more Development of a Sensor Array Based on Pt, Pd, Ag and Au Nanocluster Decorated SnO2 for Precision Agriculture Andrea Gaiardo1, Soufiane Krik2, Matteo Valt3, Barbara Fabbri3, Matteo Tonezzer4, Zhifu Feng2, Vincenzo Guidi3 and Pierluigi Bellutti5 © 2021 ECS - The Electrochemical Society ECS Meeting Abstracts, Volume MA2021-01, IMCS 04: Sensors for Agricultural and Environmental Applications Citation Andrea Gaiardo et al 2021 Meet. Abstr. MA2021-01 1550 8 Total downloads Turn on MathJax Get permission to re-use this article Share this article Share this content via email Share on Facebook (opens new window) Share on Twitter (opens new window) Share on Mendeley (opens new window) Article information Abstract Introduction Nowadays, precision farming is a key topic. Because of the steady increase in the world's population, which is expected to reach 9.6 billion by 2050, it is vital to increase the productivity of agricultural land while reducing waste of water, fertilizers, pesticides and pesticide. To achieve these goals, precision agriculture aims to provide farmers with a wealth of information to optimize field management, by matching farming practices more closely to crop needs. This information is obtained exploiting satellite and weather data, and wireless sensor arrays, which combined with the use of GPS, Internet of Things (IoT) and machine learning allow the farmer to operate with both a control and predictive approach [1]. For the best use of precision agriculture, it is therefore essential to collect as much data as possible on the crop status. On the one hand, various technologies have been developed or improved to collect information directly in the field, in particular to measure the pH, the nitrogen compound concentrations and the humidity amount in the soil [2,3]. On the other hand, there is not yet a well-structured system for monitoring crop gas emissions, which together with the control of soil parameters, can lead to a comprehensive evaluation of the effective health status and growth of the crop [4]. In this work, a sensor array composed of four different sensing materials, i.e. SnO2 decorated with Ag, Pd, Pt and Au nanoclusters, were developed and investigated to selective detect five different gases commonly present or emitted by crops.

Development of a Sensor Array Based on Pt, Pd, Ag and Au Nanocluster Decorated SnO2 for Precision Agriculture

Andrea Gaiardo
;
Soufiane Krik;Matteo Valt;Matteo Tonezzer;Zhifu Feng;Pierluigi Bellutti
2021-01-01

Abstract

The Electrochemical Society, find out more Development of a Sensor Array Based on Pt, Pd, Ag and Au Nanocluster Decorated SnO2 for Precision Agriculture Andrea Gaiardo1, Soufiane Krik2, Matteo Valt3, Barbara Fabbri3, Matteo Tonezzer4, Zhifu Feng2, Vincenzo Guidi3 and Pierluigi Bellutti5 © 2021 ECS - The Electrochemical Society ECS Meeting Abstracts, Volume MA2021-01, IMCS 04: Sensors for Agricultural and Environmental Applications Citation Andrea Gaiardo et al 2021 Meet. Abstr. MA2021-01 1550 8 Total downloads Turn on MathJax Get permission to re-use this article Share this article Share this content via email Share on Facebook (opens new window) Share on Twitter (opens new window) Share on Mendeley (opens new window) Article information Abstract Introduction Nowadays, precision farming is a key topic. Because of the steady increase in the world's population, which is expected to reach 9.6 billion by 2050, it is vital to increase the productivity of agricultural land while reducing waste of water, fertilizers, pesticides and pesticide. To achieve these goals, precision agriculture aims to provide farmers with a wealth of information to optimize field management, by matching farming practices more closely to crop needs. This information is obtained exploiting satellite and weather data, and wireless sensor arrays, which combined with the use of GPS, Internet of Things (IoT) and machine learning allow the farmer to operate with both a control and predictive approach [1]. For the best use of precision agriculture, it is therefore essential to collect as much data as possible on the crop status. On the one hand, various technologies have been developed or improved to collect information directly in the field, in particular to measure the pH, the nitrogen compound concentrations and the humidity amount in the soil [2,3]. On the other hand, there is not yet a well-structured system for monitoring crop gas emissions, which together with the control of soil parameters, can lead to a comprehensive evaluation of the effective health status and growth of the crop [4]. In this work, a sensor array composed of four different sensing materials, i.e. SnO2 decorated with Ag, Pd, Pt and Au nanoclusters, were developed and investigated to selective detect five different gases commonly present or emitted by crops.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/328056
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