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AI-Driven Smart Farming Optimization in the Green.Dat.AI Data Space

DevConf via YouTube

Overview

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Explore how AI-driven data spaces are revolutionizing agriculture through this 27-minute conference talk from DevConf.CZ 2025. Discover the Horizon Europe Green.Dat.AI research project's smart farming optimization pilot that addresses traditional agricultural inefficiencies like over-fertilization, delayed pest detection, and reactive soil management through secure data exchange and real-time analytics. Learn about the integration of satellite imagery, drones, and in-situ sensors to deliver precision fertilization, early pest detection, and predictive soil health assessments. Examine key innovations including federated learning for privacy-preserving edge AI training, digital twins for optimized farm management, and anomaly detection for proactive decision-making within MyFarm, a widely-used Slovenian platform supporting data-driven agricultural decisions. Understand how these technological advancements refine fertilization processes, boost crop predictions, and enhance overall farm efficiency while paving the way for smarter, more resilient agriculture. Gain valuable insights into the technical and practical aspects of implementing AI-driven agricultural solutions, including implementation challenges, best practices, and future innovation opportunities in the agricultural technology sector.

Syllabus

AI-Driven Smart Farming Optimisation in the Green.Dat.AI Data Space - DevConf.CZ 2025

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DevConf

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