Developments in robotics and automation in precision agriculture: the role of artificial intelligence:

Publication date: 21-11-2025
Extent: 18 pages

Contributions by: Simon Pearson, University of Lincoln, UK

Chapter synopsis:

The chapter explores advances in robotics and automation in precision agriculture, emphasizing the transformative role of artificial intelligence (AI). It discusses how AI-driven robotic systems are enhancing agricultural efficiency, sustainability, and productivity by integrating machine learning and autonomous control with augmented decision-making. The chapter examines key applications such as robotic weeders, autonomous harvesting, and robotic precision spraying, highlighting their potential to reduce environmental impacts while improving economic viability. Challenges, including data limitations, and barriers to widespread adoption, are also addressed. The chapter further explores emerging technologies such as generative adversarial networks (GANs), transfer learning, and digital twins, which are expanding AI capabilities in agricultural settings. The conclusion emphasizes the need for responsible AI innovation, regulatory support, and collaborative efforts among policymakers, academics, industry leaders, and farmers to ensure the successful adoption of these transformative technologies.

DOI: 10.19103/AS.2025.152.12