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

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.

ZEMELA - Smart Software Platform for Small Vegetable Farms

“…Current data from the sensor networks are obtained from the guards and stored in the ADK Center (4). The personal assistant extracts the necessary information for its work from the ADK Center (5). The Event Engine, utilizing the current sensor data (6), assists the personal assistant in identifying various events, including anomalies (7).…”

Traffic Flow Prediction Using Big Data and Geographic Information Systems: A Survey of Data Sources, Frameworks, Challenges, and Opportunities

“…Despite widespread popularity, active crowd-sourcing platforms continue to struggle with issues including data trustworthiness and inclusion in decision-making [38]. Real-time BD analytics depending on social media networks [39] offer substantial opportunities for intelligent traffic forecast and monitoring. Visual analytics based on data from social media can fa-cilitate Spatiotemporal analysis and produce spatial decisions for the supporting environment.…”