Nano/Bio/Bio Bussines

  • Diagnosis of natural enemies for biological control.
  • Organic compounds with load transfer properties for photovoltaics, sensors, imaging devices, field effect transistors.
  • Production of organic compounds with semiconductor and conductive characteristics.
  • Catalyst production for photochemical reactions.
  • Optical characterization of fullerenes and other nanostructures.


  • Optical characterization of materials and electronics of photovoltaic systems.
  • Characterization of molecular systems with potential applications to quantum processing.
  • Laser spectroscopy and optical spectroscopy.
  • Atomic and molecular spectroscopy.


  • Large-scale data processing in a high performance supercomputing cluster.
  • Climate / growth / yield modeling in crops.
  • Monitoring the development of a crop and recording by variable and growth time, through the distribution of sensors.
  • Agricultural performance maps.
  • Maps for agricultural management.

Smart Agriculture

  • Estimation of spectral crop signatures by treatment / resources (active sensors) + sampling of
  • Identification of diseases / fungi / pest involvement + field sampling.
  • Monitoring the efficient use of water through the use of sensors.
  • Advice for the improvement of agricultural production, by quantifying the variability (spatial and temporal) of environmental factors.
  • Non-contact measurement of moisture content and mechanical properties in biomass.
  • Development of methods, techniques and equipment for quality control of crops, crops and agricultural products.
  • Improvement of the feeding and care processes of plants and agricultural crops.
  • Management of multi and hyper spectral image information from its capture in unmanned aerial vehicles for spatial modeling
  • Control and study of crops and products through bioinformatics tools, by optical methods and systems.

Sustainable development

  • Efficient use of agriculture (loss reduction and productivity increase).
  • Modeling of climatic variables.
  • Modeling of extreme phenomena.
  • Quantification, in real time, of analytical indexes for the identification of air condition and quality through remote sensing optical techniques such as LIDAR and DOAS.
  • Real-time monitoring of water quality in strategic locations.
  • Improvement of storage systems and clean energy production.
  • Monitoring and predictive models of climate change and its impact on the agro-productivity of priority crops.
  • Spatial modeling, simulation and integration of scenarios and forecast generation.

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