Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture

Clicks: 348
ID: 117649
2020
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Abstract
Smart agriculture based on new types of sensors, data analytics and automation, is an important enabler for optimizing yields and maximizing efficiency to feed the world’s growing population while limiting environmental pollution. The aim of this paper is to describe a multi-sensor Internet of Things (IoT) system for agriculture consisting of a soil probe, an air probe and a smart data logger. The implementation details will focus of the integration element and the innovative Artificial Intelligence based gas identification sensor. Furthermore, the paper focuses on the analytics and decision support system implementation that provides farming recommendations and is enhanced with a feedback loop from farmers and a social trust index that will increase the reliability of the system.
Reference Key
licciardello2020sensorssmart Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Titus Balan,Catalin Dumitru,Gabriela Dudnik,Enrico Alessi,Suzanne Lesecq,Marc Correvon,Fabio Passaniti,Antonella Licciardello;Titus Balan;Catalin Dumitru;Gabriela Dudnik;Enrico Alessi;Suzanne Lesecq;Marc Correvon;Fabio Passaniti;Antonella Licciardello;
Journal sensors
Year 2020
DOI
10.3390/s20154127
URL
https://sciprofiles.com/publication/view/222c0cdf9ae57bbfd8c04b9db72e31c7
Keywords
gas sensor decision support system agriculture data analytics sensor data logger social feedback social iot

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