The activity of the Agro Optics and Sensing Lab focused on acquisition problems and sensing schemes associated with agriculture monitoring in environmental conditions.

The research composed of optical design and algorithms arising from these challenges includes:

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• Stabilizing the drift of low-cost thermal un-cooled thermal cameras. 

• Super-resolution for agriculture needs.

• The interaction of light and maters.

• Monitoring system based on Spectroscopy and fluorescence.

• On the algorithmic side, we use  Inverse problems and learning problems, including deep learning schemes.

• Nano-Satellites Imagery.