Bio-systems and agri-food

BIOSYSTEMS & AGRI-FOOD: Aquaculture

One of the most recent application of our work is related to the application of remote sensing techniques to aquaculture. In join collaboration with UPC and IRTA we studied the potential of clorophyll-a estimation from Sentinel 2 imagery to monitor the distribution and amount of phytoplankton in Ebro Delta’s bay.

GMD-Aquaculture

Figure. Chl-a maps. Time series of Alfacs (left column) and Fangar (right column) bays. The seasons of winter and early spring spring are covered in: (a) 16 January 2017; (b) 25 Febrary 2017; (c-d) 17 March 2017; Black: rafts; Blue: freshwater discharge; Spatial scale: 4 km with divisions every 1 km. A mask to avoid interferences due to submerged macrophytes and/or shallow waters (>2m) was used in each bay.

Relevant publications:

Soriano, J. “Caracterización de la dinámica espacial del fitoplancton en las bahías del delta del Ebro a partir de la estimación de la clorofila-a con Sentinel 2: Implicaciones para la miticultura” Supervisors: Eduard Angelats (CTTC), Margarita Fernández(IRTA), Lourdes Reig (UPC). September 2017.

 BIOSYSTEMS & AGRI-FOOD: NDVI in Indoor environments with low-cost imaging sensors

In this research, a NDVI point cloud generator tool based on low-cost active RGB-D sensor was developed. Taking advantage of currently available ROS point cloud generation tools and RGB-D sensor technology (like Microsoft Kinect), that includes an inbuilt active IR camera and a RGB camera, 3D NDVI maps can be quickly and easily generated for vegetation monitoring purposes. When using low-cost sensors for vegetation index estimation, it is necessary to apply a rigorous methodology for extracting reliable information. In this paper, the methodology for NDVI generation using a low-cost sensor as well as experiments to evaluate its performance is presented. The experiments performed show that it is possible to obtain a reliable NDVI point cloud from a Kinect V2.

NDVI_rover

Figure. NDVI images of a set of leaves in an indoor environment.

Relevant publications:

, , , , NDVI point cloud generator tool using low-cost RGB-D sensor , in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (iROS2018), 1-5 October 2018, Madrid (Spain).