Learning for Society – Centro de Investigación y Formación en Inteligencia Artificial | Uniandes

Precision agriculture methodology and artificial vision for the prediction of viability and vigor of native seeds

admin — Thu, 03 Jun 2021 04:06:14 +0000

This project aims to develop a methodology based on artificial vision techniques and statistical learning for the prediction of the type of seeds (species, variety, viability, and vigor). Therefore, allowing the identification in real-time of the highest quality seeds, building relevant knowledge for the implementation of tasks of planting new crops. In this way, we propose the development of an automatic and non-destructive methodology, which detects the best seeds for the establishment of smart crops. As a result, we will design a computational method based on artificial vision techniques and statistical learning, that optimizes the tasks of planting and storing native seeds.

Study of feedback systems for stress reduction

admin — Thu, 03 Jun 2021 04:01:16 +0000

Development of an automatic system to reduce the stress levels of a patient in a non-invasive way in the short term.

Computational models of cooperation in underprivileged communities

admin — Thu, 03 Jun 2021 03:58:52 +0000

Use artificial intelligence to develop computational tools that first, provide a better understanding of the dynamics of a community that implements informal financial cooperation strategies. Second, to design new strategies where these limitations are minimized. Finally, to design portable tools at a low cost that provide advice to community members on how to cooperate under these strategies.

Artificial Intelligence in the Management and Implementation of Alternative Energies

admin — Thu, 03 Jun 2021 03:41:11 +0000

Development and use of artificial intelligence techniques, for the implementation and management of alternative energy solutions in the department of Nariño.

Monitoring and characterization of fish farming systems for the efficient and sustainable production of small producers

admin — Thu, 03 Jun 2021 03:35:40 +0000

In this research project, we propose to design tools for monitoring, acquiring, and analyzing data to find new techniques and specific practices for small fish farmers. Our objective is to gradually evolve their artisanal forms of production and live transport, improving efficiency, quality, health, and environmental sustainability of their fish farming practice, in addition to designing adequate training strategies for the appropriation of these developments.