CONTROLE FUZZY PARA NAVEGAÇÃO AUTÔNOMA DE ROBÔS AGRÍCOLAS NA AGRICULTURA 5.0

• DOI: https://doi.org/10.22533/at.ed.2692405012

• Palavras-chave: Agricultura 5.0; Lógica Fuzzy; Robótica Autonoma; Controle Inteligente.

• Keywords: Agriculture 5.0, Fuzzy Logic, Autonomous Robotics, Intelligent Control

• Abstract: The objective and motivation of this work are to present the advantages of using fuzzy logic in Agriculture 5.0, with some instantiations. Fuzzy control for autonomous navigation of agricultural robots. The employment and incorporation of new technologies in agriculture are transforming the way we produce food. One of the most promising technologies is autonomous robotics, which can automate tasks such as planting, harvesting, and weeding. Fuzzy control is a type of control system that uses fuzzy logic to make decisions. It is often used in applications where the environment is uncertain or changeable, such as in agriculture. In Agriculture 5.0, autonomous robots are becoming increasingly important for improving productivity and efficiency. Fuzzy control can play a fundamental role in the navigation of these robots, helping them navigate safely and efficiently in a variety of environments. The main benefits of fuzzy control for autonomous navigation of agricultural robots include: Adaptability: Fuzzy logic can be used to adapt to changing conditions, such as weather or terrain. This can help the robot navigate safely and efficiently in a variety of environments. Robustness: Fuzzy logic is robust to uncertainties, such as the location of obstacles or the position of plants. This can help the robot avoid collisions and successfully complete its tasks.This work concludes with a conclusion and addresses future research.