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Learn crop identification techniques using satellite data in this webinar designed for participants of the IndiaAI Impact Gen-AI Hackathon Track-1. Explore the comprehensive problem statement for crop identification challenges and gain insights into the dataset structure, including detailed explanations of labels, features, and their creation processes. Examine the baseline model architecture and understand the provided boilerplate code through step-by-step explanations. Discover potential enhancement strategies that extend beyond the baseline approach to improve crop identification accuracy. Participate in an interactive Q&A session to clarify concepts and discuss implementation strategies. Benefit from the expertise of Kamal Das, Senior Research Scientist in Climate & Sustainability at IBM Research, who brings extensive experience in geospatial data analysis and has contributed to groundbreaking initiatives including the Prithvi Geospatial Foundation Model developed with NASA and the High-Resolution Daily Soil Moisture service for precision agriculture.
