Research on the Operation Control System of Yam Sowing Robot Based on Collaborative Perception
Year: 2026
Type: conference-paper
Abstract: To address the challenges of manual labor dependency, low mechanization, and high costs in Chinese yam cultivation, this study developed a collaborative sensing-based robotic system for yam planting operations. The system integrates aerial and ground sensing technologies, combining UAV environmental data with ground robot multi-sensor inputs to create an integrated “sensing-decision-execution” intelligent framework. By implementing multi-mechanism coordination, adaptive path planning, and dynamic resource allocation, the system autonomously performs the entire process from furrow preparation to irrigation, significantly enhancing terrain adaptability and operational synergy. Field trials demonstrated stable performance, high precision, and strong practicality with scalability, offering an effective solution for intelligent cultivation of China's specialty cash crops.
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W7204172591