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AI-Powered sustainable smart farming

URN M24.0.699

Topics AI (Artificial Intelligence), Internet of Things (IoT), Sustainability

Enhancing smart farming with data analytics and GenAI for sustainable agriculture, optimizing energy and resources, and fostering a greener future

Project companies

Smart Farming has a huge potential to drive revenues from IoT and telcos advance connectivity enabling B2B2X commercial models. But to unlock it, 5G private networks, network slicing and edge computing are key to support the demanding QoS levels required to transform operations of the companies at Smart Farming. Sustainability is a key challenge when delivering solutions for the agriculture vertical market. In this catalyst we will demonstrate how telco operators can face these challenges through an innovative AI-driven approach at different levels. This transformative approach leverage Data Analytics and GenAI to create bespoke offerings, optimizing network resources, Radio Spectrum, Cloud infrastructure and agriculture supplies in real-time. At the core of this innovation lies Generative AI as a Platform, integrated into IoT Platforms driven by AI. Deployed in automated agriculture environments, this powerful combination optimizes resources such as water and fertilizers, exposing their capabilities via APIs. The synergy between AI driven Catalogue and Smart Farming technologies paints a vivid picture of B2B2X Collaboration. From robotics and agricultural drones to computer vision software, automated farming elevates efficiency across operations, reducing labor costs and environmental impact.