Abstract

Pollination is essential for crop production in controlled environment agriculture, including greenhouses, vertical farms, and indoor facilities, where natural pollinators face access limitations and environmental constraints. This article examines autonomous robotic bee systems designed to address pollination challenges through precision mechatronic design and artificial intelligence. Key technologies include micro aerial vehicle platforms with biomimetic flight mechanisms, computer vision systems for flower detection and localization, and intelligent control algorithms for autonomous navigation. Pollination mechanisms encompass contact-based pollen transfer, electrostatic deposition, and vibration-based techniques optimized for different crop species. System architectures integrate onboard sensors, actuators, and computational units enabling real-time decision-making and coordinated swarm operation. Applications demonstrate effectiveness in greenhouse tomato and pepper production, vertical farming systems, and research facilities requiring precise pollination control. Robotic pollination systems offer advantages including consistent performance, reduced labor costs, elimination of biological pollinator dependency, and integration with smart agriculture platforms. Major challenges include energy efficiency constraints limiting flight duration, scalability issues related to manufacturing costs, and regulatory considerations for commercial deployment. Future developments will focus on enhanced battery technologies, advanced AI algorithms for improved flower recognition, multi-robot coordination strategies, and integration with digital twin systems for optimized greenhouse management. Robotic pollination represents a transformative technology enabling sustainable intensification of controlled environment agriculture.