About Smart AgriHealth Days 2025

Exploring the future of AI-driven innovation in agri-food and healthcare

Introduction

Artificial intelligence (AI) is rapidly reshaping industries, especially in agri-food (agri-food and food industry) and healthcare. These two sectors, crucial for human survival and well-being, are experiencing a revolution driven by AI technologies that offer unprecedented levels of precision, efficiency, and sustainability.

In agroalimentaire, AI is transforming traditional farming and food processing practices, providing innovative solutions for increasing food production, ensuring safety, and reducing environmental impact. The integration of AI allows for smarter resource management, higher crop yields, and optimized supply chains that meet growing global food demands.

Similarly, in healthcare, AI is enabling breakthroughs that enhance diagnostic accuracy, personalize patient care, and accelerate drug discovery. The healthcare industry, with its vast amounts of data, benefits enormously from AI's ability to analyze complex patterns, predict outcomes, and assist in medical decision-making.

The Scientific Days on AI in Agri-food and Healthcare 2025 will bring together leading experts, researchers, and professionals from these fields to explore the future of AI-driven innovation in agri-food and healthcare. The Scientific Days on AI in Agri-food and Healthcare will highlight the importance of adopting AI technologies, discussing the opportunities they offer as well as the ethical and regulatory challenges that arise.

Objectives

Objectives of The Scientific Days on AI in Agri-food and Healthcare 2025

  1. Showcase the latest advancements in AI applications for Agri-food, food processing, biotechnology, and healthcare.
  2. Encourage interdisciplinary collaboration to foster innovative projects that integrate AI, biology, and Healthcare sciences.
  3. Address ethical and regulatory challenges related to the use of AI, including data privacy, patient consent, and the environmental impact of AI-driven technologies.
  4. Promote entrepreneurship and innovation by featuring startups and established companies that leverage AI to solve challenges in biotechnology, healthcare, and Agri-food.
  5. Inspire young researchers and students by providing opportunities to learn from global AI experts and present their own innovative ideas.

First Day: AI in Healthcare

AI's transformative potential in healthcare is vast, from improving diagnostics to creating personalized treatment plans and advancing drug discovery.

Key Applications

Medical Imaging and Diagnostics

AI systems analyze complex medical images like X-rays, CT scans, and MRIs, providing earlier and more accurate diagnoses than traditional methods. AI can identify patterns that are invisible to the human eye, leading to better Healthcare outcomes.

Example: AI diagnostic tools can detect early signs of diseases such as cancer with a higher degree of accuracy than radiologists.

Personalized Medicine

By leveraging AI to analyze patient data—such as genetic profiles, lifestyle information, and medical history—healthcare providers can tailor treatments that are more effective and suited to the individual's needs.

Example: AI-based algorithms assess patients' genetic information to recommend personalized cancer treatment plans, improving the efficacy of therapies.

Drug Discovery and Development

AI accelerates drug discovery by simulating chemical reactions, predicting how new drugs interact with biological systems, and identifying potential drug candidates much faster than conventional methods.

Example: AI-driven platforms like Atomwise use deep learning to identify promising drug compounds, reducing the time needed for initial drug screening phases.

Robotic Surgery

AI-powered surgical robots assist surgeons in performing complex operations with greater precision, accuracy, and control. These robots allow for minimally invasive procedures, reducing patient recovery time and improving surgical outcomes.

Example: The da Vinci Surgical System enables surgeons to perform delicate procedures with enhanced dexterity and control, lowering the risk of complications.

Predictive Analytics and Patient Monitoring

AI devices continuously monitor patients' vital signs, predicting potential Healthcare complications before they escalate. Predictive analytics driven by AI allow healthcare providers to take proactive measures, improving patient care and reducing emergency hospitalizations.

Example: AI-based monitoring systems alert hospital staff to early signs of patient deterioration, enabling timely intervention and reducing the likelihood of critical Healthcare incidents.

Second Day: AI in Agri-food

AI is making an indelible impact on the agri-food industry, optimizing food production processes, enhancing sustainability, and improving food security.

Key Applications

Precision Agri-food

AI systems analyze real-time data from satellites, drones, and sensors to assess soil conditions, weather patterns, and crop health. This helps farmers make informed decisions on irrigation, fertilization, and pest control, thus optimizing yields and reducing waste.

Example: AI-powered irrigation systems adjust water usage based on real-time soil moisture data, conserving water while ensuring healthy crop growth.

Autonomous Machinery and Robotics

AI-driven robots handle labor-intensive agricultural tasks such as planting, weeding, and harvesting autonomously. This reduces the reliance on manual labor while enhancing operational efficiency and accuracy.

Example: Autonomous tractors and robotic harvesters plant seeds and harvest crops with precision, reducing human error and maximizing productivity.

Supply Chain Optimization

AI is revolutionizing the food supply chain by predicting demand, managing inventory, and minimizing food waste. It allows for better forecasting of market needs and more efficient production schedules.

Example: AI models predict high-demand products in specific regions, allowing manufacturers to adjust production and avoid overproduction and food waste.

Food Safety and Quality Control

AI-based inspection systems monitor food quality during processing and packaging, ensuring higher safety and consistency standards. These systems can detect contaminants and ensure that food products meet strict safety regulations.

Example: AI-powered cameras and sensors detect impurities or quality defects in fruits, vegetables, and packaged food items, preventing unsafe products from reaching consumers.

Sustainable Farming

AI promotes sustainable agricultural practices by optimizing resource use, such as water, energy, and fertilizers, while reducing the environmental impact.

Example: Smart farming technologies use AI to allocate water more effectively, reduce energy consumption in food processing facilities, and monitor environmental conditions to minimize the ecological footprint of farming activities.

Summit Format

Event Structure

This hybrid event enables both in‑person and virtual participation to foster broad, global engagement. The program blends scientific rigor with practical impact.

  • Keynote talks by internationally recognized experts
  • Technical sessions, paper presentations, and hands‑on demonstrations
  • Poster and demo sessions for students and early‑stage work
  • Industry stands in Agri-food and Healthcare

Why Participate?

  • Learn from top international experts
  • Share your research with a diverse audience
  • Engage in discussions on the future of AI
  • Network with industry leaders and foster collaborations
  • Explore how AI is revolutionizing agri-food and healthcare