Artificial intelligence in the service of prevention and disability issues in the workplace: enhanced equity

As part of the aivancity Chair in AI and Disability in the Workplace, and with the support of SOGERES, SOGERES and aivancity have joined forces to produce the first white paper on artificial intelligence (AI) in support of people with disabilities in the workplace. This document examines the advances in AI in this field and its potential to improve the lives of workers with disabilities.  

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Detection of diseases in medicinal plants using AI (2022–2024) (in partnership with SUBTRATE AI)

Project leader: Dr Doreid AMMAR

Internet of Things (IoT) technologies, combined with artificial intelligence (AI), autonomy and connectivity, are driving the rise of smart agriculture. AI-powered IoT systems can support the cultivation of medicinal plants by helping farmers save valuable resources, such as water, and reduce labour requirements, thereby increasing resource efficiency. They can also provide a monitoring system using sensors capable of automatically assessing the physical condition of plants. Consequently, AI-powered smart agriculture is a powerful ally that can make medicinal plant cultivation practices more efficient, more precise and better controlled.
This chair is funded as part of a European Call for Proposals by SUBSTRATE AI, a publicly listed artificial intelligence group based in Spain and founded by Bren Worth in the United States, which develops its own AI technology; in collaboration with the University of Valencia in Spain.

AI for Animal Health (2024–2026) (in partnership with SUBTRATE AI)

Project leader(s): Dr Doreid AMMAR – with Dr Etienne MAUFRET

As well as monitoring outbreaks, AI has numerous potential applications in animal health, such as the early detection of disease outbreaks.

This research and innovation chair aims to develop an AI solution capable of identifying a list of possible conditions based on radiological images and using veterinary data such as age, weight, vomiting, skin masses, bruises and injuries. The data used will be extracted from specialist literature on conditions common to cats and dogs.

AI for improving dairy production (2024–2026) (in partnership with SUBTRATE AI)

Project leader: Dr Doreid AMMAR

In the field of dairy production, AI can facilitate more optimised farm management, particularly in terms of animal welfare, cost reduction and increased profitability. 

By using data from dairy farming, the project aims to develop an AI solution capable of monitoring various parameters relating to animal health and milk quality, and of recommending phytotherapeutic treatments for the animals. This project aims to develop innovative, intelligent and autonomous systems for dairy farming. These systems utilise the Internet of Things and Artificial Intelligence to collect measurable parameters and develop AI-powered models in order to improve animal health, enhance the quality of the milk produced and boost farmers’ competitiveness as well as resource efficiency (reducing costs and improving profitability).

The main objectives of the project are:

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