book chapter · Advances in computational intelligence and robotics book series
Precision agriculture is undergoing a fundamental paradigm shift, driven by the fusion of AI, autonomous robotics, advanced sensing, digital twins, and biotechnology. This chapter outlines the creation of integrated, data-driven ecosystems to enhance productivity, resource efficiency, and climate resilience. It details enabling technologies—from hyperspectral imaging and biodegradable sensors to AI platforms and nano-enabled inputs—and analyzes the architecture of interoperable farm systems. Socio-economic dimensions, equitable access, and environmental sustainability are examined alongside scalable implementation pathways for all farm types. Critical research gaps in AI generalizability, robotic coordination, and adoption strategies are identified. The trajectory points toward adaptive, fully connected, and self-optimizing farming systems that harmonize food security with ecological stewardship.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.4018/979-8-3373-7257-0.ch015
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
