Publication
HARNESSING A DIGITAL TRIAD: AI, REMOTE SENSING, AND PREDICTIVE MODELING TO REVOLUTIONIZE ENVIRONMENTAL MONITORING AND FOOD INPUTS OPTIMIZATION IN THE MOSCOW REGION
(STEF92 Technology, 2026, Emmanuel Igwe, Shaibu Ochoche, Onyinyechi Grace Opara, Laith Mohammad Jadee AIOudat, Victor Samuel Ibanichuka)
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The convergence of remote sensing (RS), artificial intelligence (AI), and advanced computational modeling presents a paradigm shift in addressing interconnected environmental crises. This research demonstrates how this integrated framework delivers actionable insights for biodiversity conservation, pollution mitigation, and climate adaptation. RS provides high-resolution, temporal data on habitat extent, deforestation rates, pollutant dispersion, and climate variables. AI algorithms, particularly machine learning,...
Geoinformatics2026