Big Data (Processing, statistics, modeling, etc.)

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Processing of data, structured or unstructured, into useful information

Big Data analysis technologies focus on the management and analysis of large amounts of data, both structured and unstructured, in order to obtain valuable information for decision making. Through processing techniques, statistics, modeling, visualization and machine learning. The origin of the data can be diverse, but its treatment, with sufficient analysis and processing capacity, allows an effective exploitation.

Technological lines

Applications and Firmware

Development of custom firmware with applied electronics and artificial intelligence

Conservation and biodiversity

Conservation of multifunctional habitats of community interest.

Deep Learning and Artificial Intelligence

Combining AI and applied electronics for efficient machine learning

Food quality, safety and sustainability

Advanced rapid sensing applications for food quality and safety

Forest-based foods

The forest environment as a natural and sustainable food source

Forestry and environmental management

Digital and sustainable use of forest stands and their resources.

Industrial diagnostics and predictive maintenance

AI and data analytics to prevent failures and optimize the efficiency and competitiveness of industrial plants

Non-timber forest materials

Valorization of the forest environment as a source of food and raw materials.

Optimization of production processes through digitization

Implementation of advanced predictive maintenance and optimization services for industry 4.0

Plant health and biocontrol of forest pests and diseases

Identification and remediation of pests and diseases in forest systems.

Smart Cities: integrated solutions

Integrated solutions, Modern cities, Advanced technologies, Smart Cities, Interactive communication, Sensors, Citizen participation, Environmental sustainability, Communication fluidity, Sharing of resources and services, New technologies, Optimization of urban assets, Improved mobility, Energy efficiency, Citizen participation

Software Engineering

Development of customized applications for the capture and use of process and product data.