Abstract
Precision agriculture, a revolutionary approach to modern farming, leverages technology and data-driven techniques to optimize crop production and resource management. This review article delves into the advancements in precision agriculture, focusing on the integration of traditional practices with innovative robotics. The study explores the evolution of agricultural robotics, from early mechanized systems to cutting-edge autonomous robots powered by artificial intelligence, machine learning, and IoT. A comparative analysis is conducted to evaluate the efficiency, scalability, and environmental impact of traditional systems versus contemporary robotic solutions. The paper also examines the challenges in adopting robotics in agriculture, such as cost, technological complexity, and scalability for small and medium-scale farmers. Additionally, it highlights emerging trends, including drone-based crop monitoring, autonomous weeding systems, and precision seeding technologies, which aim to address global food security challenges while ensuring sustainability. This article serves as a comprehensive resource for researchers, technologists, and policymakers aiming to bridge the gap between traditional and modern agricultural systems, paving the way for smarter and more efficient farming practices
Published Version
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