SAIRSAS - Keynote 2 - Dr. Jose Miguel Guerrero - Computer vision for cropping (es) скачать в хорошем качестве

SAIRSAS - Keynote 2 - Dr. Jose Miguel Guerrero - Computer vision for cropping (es)

Keynote speker - Dr. Jose Miguel Guerrero Keynote title: Computer vision for cropping Abstract: The vision system installed on an autonomous tractor as part of the RHEA project (Robot Fleets for Highly Effective Agriculture and Forestry Management) is introduced. This system incorporates various artificial vision techniques designed for real-time identification of crop rows and weeds in a cornfield. The focus of this research is on the precise detection of crop rows, enabling the tractor to achieve reliable guidance without relying on global positioning systems (GPS). This advancement is crucial to prevent crop damage and unwanted overlap in treatment areas. Within the context of this work, a detailed explanation of how the crop rows are identified and the process ensuring the tractor stays on the correct path will be provided. Furthermore, the prototype of the installed system will be presented, along with details of the tests conducted in a real field environment. This advancement in vision technology represents a significant milestone in agricultural automation and has the potential to substantially enhance efficiency and sustainability in crop management. 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.