SAIRSAS - Keynote 3 - Dr. Luis Emmi - WeLASER project case study скачать в хорошем качестве

SAIRSAS - Keynote 3 - Dr. Luis Emmi - WeLASER project case study

Keynote speaker: Dr. Luis Emmi Keynote title: Intelligent controllers and autonomous navigation in agricultural environments WeLASER project case study Abstract: Intelligent controllers and autonomous navigation systems are promoting the inclusion of robotic systems in agriculture, redefining the way that crop management, yield optimization, and resource utilization are executed. This presentation explores the integration of intelligent controllers and autonomous navigation emphasizing their potential to enhance reliability, efficiency, sustainability, and productivity. Intelligent controllers, often based on Artificial Intelligence and Machine Learning, offer data-driven decision-making capabilities that enable real-time assessment of crop status, pest infestations, and environmental conditions. This presentation also addresses the inclusion of intelligent controllers and autonomous navigation capabilities in the WeLASER mobile platform. The project "Sustainable Weed Management in Agriculture with Laser-based Autonomous Tools (WeLASER)", funded by the European Union's Horizon 2020 research and innovation program under grant agreement No 101000256, aims to merge current technologies to build, assess and push into the market a precision weeding equipment based on high-power laser sources and autonomous mobile systems with the main objective of eliminating the use of herbicides while improving productivity and competitiveness. SAIRSAS The International Autumn School on AI and Robotics for Sustainable Agricultural Systems (SAIRSAS 2023) aims to provide the right environment to discuss developments in agriculture through the use of new technologies such as artificial intelligence and robotics. This first international meeting organised by the Robotics Group aims to bring together professionals, researchers and students interested in applying artificial intelligence-based solutions in precision livestock farming. In this way, multidisciplinary collaborations and synergies between such diverse fields can be achieved, making it possible to reach innovative and relevant solutions for society. We want to express our special gratitude to the sponsors of the event: thanks to the University of León for their financial support for the organization of this autumn school; thanks also to the Robotics research group and to the research project with grant Grant TED2021-132356B-I00 funded by MCIN/AEI/10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR”. Finally, we would like to thank the Granja Experimental of the University of León, Facultad de Veterinaria, Universidad Rey Juan Carlos, Agrovet Laboratorios Analíticos, Precision Drone (Drone Engineering Solutions) and MENDEA Ingeniería Ambiental for their support.