Smart Multi-Sensor Platform for Analytics and Social Decision Support in Agriculture.
Titus Constantin BalanCatalin DumitruGabriela DudnikEnrico AlessiSuzanne LesecqMarc CorrevonFabio PassanitiAntonella LicciardelloPublished in: Sensors (Basel, Switzerland) (2020)
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.
Keyphrases
- big data
- artificial intelligence
- climate change
- healthcare
- machine learning
- deep learning
- primary care
- human health
- mental health
- living cells
- health information
- heavy metals
- quantum dots
- risk assessment
- quality improvement
- transcription factor
- particulate matter
- high throughput
- clinical practice
- low cost
- room temperature
- electronic health record
- health risk assessment
- single molecule