Mastering Generative AI in Agriculture: A Practical Guide for Professionals

At its core, generative AI refers to a type of artificial intelligence capable of creating new content, such as text, images, or code, based on the data it has been trained on. This training delves into the fundamental principles behind these technologies, with a specific focus on Large Language Models (LLMs). Participants will gain an understanding of how these models function, enabling them to differentiate between various generative AI tools and comprehend their underlying mechanisms. The course will explore a range of IA GEN (IA Générative) tools, comparing their capabilities and illustrating their potential integration into agricultural workflows. This foundational knowledge is crucial for effectively utilizing these advanced technologies.

The agricultural landscape is ripe for innovation, and generative AI is poised to play a transformative role. This section of the training explores the dynamic interplay between IA Gen and Agriculture, highlighting the current trends and future perspectives. Participants will discover a wide array of potential applications for generative AI across various facets of the agricultural sector. This includes, but is not limited to, research and development (R&D), livestock management (élevage), administrative support, and agricultural consulting (conseiller). The course will specifically focus on the opportunities opened up by conversational agents and explore other use cases that can streamline operations, enhance decision-making, and foster innovation within the industry. Understanding these practical applications is key to realizing the full potential of IA agricole.

To solidify learning and provide practical experience, the training incorporates hands-on exercises and introduces specific tools. Participants will be introduced to "Notebook LM," an innovative tool designed to help valorize agricultural resources. The interface and functionalities of Notebook LM will be presented, allowing participants to explore its capabilities. Furthermore, the course includes an individual asynchronous practical work session where participants will apply the concepts learned, including prompt creation and tool utilization. The training culminates in practical work, such as the step-by-step creation of an interactive web page, demonstrating the tangible outcomes achievable with generative AI. These practical elements are crucial for building confidence and competence in using IA GEN tools.

This training is designed for a broad audience within the agricultural sector, including engineers, technicians, administrative personnel, and anyone interested in understanding and applying generative AI. A key feature of this course is its accessibility: no prior knowledge of generative AI is required. The program is open to all individuals seeking to comprehend the functioning of IA GEN tools, explore their professional utility, and understand the implications of their deployment in agriculture, particularly concerning data protection and evolving work methodologies. The focus is on making advanced AI concepts understandable and actionable for a diverse professional background.

Acta is an organization dedicated to supporting agricultural technical institutes and fostering innovation within the agricultural sector. They offer a range of services, including training, and are committed to addressing key challenges such as climate change, agricultural competitiveness, digital agriculture, agro-ecological transition, and animal health. The training programs, like the one on generative AI, are developed and delivered by experienced professionals. Manon Longvixay, an Agricultural Digital Engineer at Acta, serves as the pedagogical manager, coordinating initiatives related to digital agriculture. Claire Ortega, an Agro-TIC and Digital Projects Engineer, also contributes as a trainer. Acta's mission is to provide expertise and facilitate the adoption of new technologies to enhance the resilience and sustainability of French agriculture.