Exploring the Convergence of Artificial Intelligence and Biotechnology: Autonomous Robotic Solutions for Efficient Crop Harvesting and Data-Driven Agricultural Management
Nguyen Thi Minh Anh
Department of Agricultur, Vietnam National University of Agriculture (越南农业大学)
Tran Quang Hieu
Can Tho University (康多大学)
Keywords: artificial intelligence, biotechnology, autonomous robots, crop harvesting, data-driven agriculture, sustainability, food security
Abstract
The convergence of artificial intelligence (AI) and biotechnology is driving a paradigm shift in the agricultural sector, catalyzing innovative solutions to address the pressing challenges of food security, sustainability, and resource optimization. This research delves into the synergistic integration of AI and biotechnology, focusing on the development of autonomous robotic systems for efficient crop harvesting and data-driven agricultural management. Leveraging advanced algorithms, computer vision, machine learning, and biotechnological innovations, these systems aim to revolutionize agricultural practices, enhance productivity, and promote environmentally conscious farming methods. Through a comprehensive literature review and empirical analysis, this study explores the current state of the art in AI-driven agricultural robotics, elucidating the key enabling technologies, challenges, and potential impact on global food production. The research highlights the deployment of autonomous robots for precision harvesting, reducing crop losses, and optimizing resource utilization. Additionally, it examines the role of AI in data-driven decision support systems, enabling real-time monitoring, predictive analytics, and tailored interventions for crop health and yield management. The interdisciplinary nature of this research illuminates the intricate interplay between AI, robotics, and biotechnology, fostering a holistic understanding of the technological landscape and its implications for sustainable agriculture. By integrating theoretical frameworks, empirical findings, and expert insights, this study contributes to the body of knowledge and provides a comprehensive roadmap for future research and development in this rapidly evolving domain.
