Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture
| Autor: | Enrico Alessi, Antonella Licciardello, M. Correvon, Catalin Dumitru, Fabio Passaniti, Suzanne Lesecq, Titus Balan, Gabriela Dudnik |
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| Rok vydání: | 2020 |
| Předmět: |
Decision support system
decision support system Computer science Social IoT Internet of Things Population Environmental pollution lcsh:Chemical technology 01 natural sciences Biochemistry Article data logger Analytical Chemistry gas sensor Soil Artificial Intelligence sensor Data logger social feedback lcsh:TP1-1185 Electrical and Electronic Engineering education data analytics Instrumentation agriculture 2. Zero hunger education.field_of_study business.industry 010401 analytical chemistry Reproducibility of Results 04 agricultural and veterinary sciences Atomic and Molecular Physics and Optics 0104 chemical sciences Identification (information) Analytics Agriculture 040103 agronomy & agriculture Data analysis Systems engineering 0401 agriculture forestry and fisheries business |
| Zdroj: | Sensors Sensors, Vol 20, Iss 4127, p 4127 (2020) Volume 20 Issue 15 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s20154127 |
| Popis: | 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&rsquo 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. |
| Databáze: | OpenAIRE |
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