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AI-powered sustainable smart farming - Phase II

URN C25.0.803
Topics AI (Artificial Intelligence), Open APIs, Open Digital Architecture (ODA)

Optimize agriculture with analytics and GenAI to reduce energy and resource use, driving smarter, sustainable farming for a greener future

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Smart Farming presents vast opportunities for revenue generation through IoT and advanced telco connectivity, fostering innovative B2B2X commercial models. However, unlocking this potential requires 5G private networks, network slicing, and edge computing to meet the high QoS demands essential for transforming agricultural operations. Sustainability is a key challenge in delivering impactful solutions for the agricultural sector. Our catalyst demonstrates how telco operators can address these challenges through an AI-driven approach that integrates Data Analytics and Generative AI (GenAI). This transformative solution optimizes network resources, radio spectrum, cloud infrastructure, and agricultural inputs in real-time. GenAI enhances IoT platforms by recommending connectivity based on geographic factors and enabling informed decision-making throughout the lifecycle of IoT-enabled farming. Deployed in automated agricultural environments, GenAI and IoT technologies efficiently manage resources like water and fertilizers while exposing capabilities through APIs. This synergy, alongside AI-driven catalogs, empowers B2B2X collaboration in Smart Farming ecosystems. Advanced technologies such as robotics, drones, and computer vision elevate operational efficiency, reducing labor costs and environmental impact. By integrating these innovations, telcos can spearhead a sustainable transformation of agriculture, delivering tailored solutions that address both market demands and environmental concerns

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AI-Powered sustainable smart farming

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