Artificial intelligence at the service of prevention and disability at work: increased equity

As part of aivancity's AI and Disability at Work Chair with the support of SOGERES, SOGERES and aivancity have teamed up to produce the first white paper on artificial intelligence (AI) for disability at work. The paper examines AI's advances in this field and its potential to improve the lives of disabled workers.  

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Manager: Dr. Doreid AMMAR
AI-assisted detection of medicinal plant diseases (2022-2024) (in partnership with SUBTRATE AI)
Internet of Things (IoT) technologies, combined with artificial intelligence (AI), autonomy and connectivity, are propelling the smart farming phenomenon. AI-powered IoT systems can support the cultivation of medicinal bodies by helping farmers save valuable resources, such as water, and reduce the labor employed, thereby increasing resource efficiency. They can also provide a monitoring system using sensors capable of automatically assessing the physical conditions of plants. As a result, AI-powered smart farming is a powerful ally that can make medicinal plant cultivation practices more efficient, precise and controlled.
Chair funded under a European Call for Projects by SUBSTRATE AI, a Spanish-based group of listed artificial intelligence companies founded by Bren Worth in the USA, which is developing its own AI technology; in collaboration with the University of Valencia in Spain.
Manager(s) : Dr. Doreid AMMAR - with Dr. Etienne MAUFRET
AI for animal health (2024 - 2026) (in partnership with SUBTRATE AI)

In addition to monitoring epidemics, AI can have numerous applications in animal health, such as early detection of emerging disease.

This research and innovation chair aims to create an AI solution that can determine a list of possible pathologies from radiological images, using veterinary data such as age, weight, vomiting, skin masses or bruises, wounds. The data used will be extracted from specific documentation on pathologies common to cats and dogs.

Manager: Dr. Doreid AMMAR
AI to improve milk production (2024 - 2026) (in partnership with SUBTRATE AI)

When it comes to dairy production, AI can help optimize farm management, particularly in terms of animal welfare, lower costs and increased profitability. 

Using data from cow breeding, the project aims to develop an AI solution for monitoring various parameters of animal health and the quality of milk produced, and for recommending phytotherapeutic treatments for animals. This project aims to develop innovative, intelligent and autonomous systems for dairy farming. These systems use the Internet of Things and Artificial Intelligence to collect measurable parameters and develop AI-powered models to improve animal health, increase the quality of milk produced, and boost farmers' competitiveness and resource efficiency (reducing costs and improving profitability).

The main objectives of the project are :

  • Provide an overview of current AI and IoT technologies deployed in dairy farming, focusing on data generation and analysis, AI models and IoT components.
  • Explore and develop AI-powered systems that improve animal health, milk quality and farmers' competitiveness.