
Advanced Robotics in Agriculture and Farming
This advanced course explores cutting-edge robotics technologies and their transformative applications in modern agriculture and farming. It covers the integration of autonomous systems, AI, IoT, and machine learning to address complex challenges such as precision farming, autonomous navigation, sustainable farming, and resource optimization. Through hands-on labs, real-world case studies, and a capstone project, participants will design and develop innovative robotic solutions for agricultural applications.
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Course Duration:
30 hours
Level:
Advanced

Course Objectives
Master advanced robotics techniques for agricultural applications.
Design and develop autonomous systems for farming tasks like harvesting, pest control, and soil monitoring.
Leverage AI and machine learning for predictive analytics and anomaly detection.
Integrate IoT and cloud computing for real-time data sharing and decision-making.
Explore and apply emerging trends such as swarm robotics, nanotechnology, and sustainable farming robotics.
Prerequisites
Proficiency in robotics fundamentals, including kinematics, sensors, and actuators.
Intermediate knowledge of AI, machine learning, and IoT systems.
Familiarity with agricultural practices and challenges.
Programming experience in Python, ROS, or equivalent platforms.
