" Smart Monitoring for Agriculture, Industrial, Environmental and Health Applications "

To be held 18 to 20  November 2015


About the aproaches

The MINAPIM 2015 will focus in the main áreas where the Smart Technologies are delivering solutions for the Market.

Recent advances in Wireless Sensor Networking (WSN) technology have led to the development of low cost, low power, multifunctional sensor nodes. Sensor nodes enable environment sensing together with data processing. Instrumented with a variety of sensors, such as temperature, humidity and volatile compound detection, allow monitoring of different environments. They are able to network with other sensor systems and exchange data with external users.

Agriculture

Modern agricultural management relies strongly on many different sensing methodologies to provide accurate information on crop, soil, climate, and environmental conditions. Almost every sensing technique may find an application in agriculture and the food industry.

Wireless Sensor Networks are the enabling technology for efficient Agriculture.  A better use of new technologies can reduce the use of chemical products such as fertilizers, herbicides and other pollution products.
Deployment of wireless sensors in agriculture  are applications mainly classified as: Environmental Monitoring, Precision Agriculture and Traceability Systems (RFID).

A general Agricultural application can be employed for:

  • Large crop area monitoring
  • Forest / Vegetation monitoring
  • Forest fire prevention
  • Biomass studies
  • Tracking Animals
  • Crop Yield Improvement

Industry

The technological inovation of sensors is reflected in high precision sensors also getting smarter, smaller, lighter, and cheaper, another important development on going in the sensors industry is the growth of wireless sensor use in industrial applications.

The Wireless transmission data in industrial applications got high relevance, with attention from both market leaders and medium- and small-sized competitors. The convergence with IT Technologies, proved that these devices could effectively address the needs of industrial applications. The attempt in most critical process applications is to wirelessly communicate and monitor temperature, flow, level, and pressure parameters.
There is a Market but, the adoption process has also been slow, as many challenges still need to be overcome despite the benefits offered.

Environment

WSN become an important issue in environmental monitoring. The relatively low cost of the devices allow the installation of a dense population of nodes that can adequately represent the variability present in the environment. They can provide risk assessment information, like for example alerting farmers at the onset of frost damage and providing better microclimate awareness.
The automation and efficiency on greenhouse environment monitoring and control are crucial. In order to control and monitor the environmental factors, sensors and actuators are essential. Greenhouse crops can benefit a lot using WST, because inside the greenhouse the crop conditions such as climate and soil do not depend on natural agents. Thus, the implementations are easier than in outdoor applications.

Health

As the normal process human evolution,  the diseases other elderly pathology happens. The need of point of care assistance and In-home and nursing-home pervasive networks may assist residents and their caregivers by providing continuous medical monitoring, memory enhancement, control of home appliances, medical data access, and emergency communication.
Researchers in several fields are working to make the broad vision of smart healthcare possible. Some of them are devoted to continuous medical monitoring for degenerative diseases like Alzheimer’s, Parkinson’s or similar cognitive disorders.
Nanotechnologies now are opening new windows for Cancer treatment, as delivering drug in the right places where are needed.
Wireless sensors have been proposed for use in structural health monitoring systems because they offer low-installation costs and automated data processing functionality.


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Realization
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