首页|Reports Summarize Machine Learning Study Results from University of Leicester (E valuating Flood Damage to Paddy Rice Fields Using PlanetScope and Sentinel-1 Dat a in North-Western Nigeria: Towards Potential Climate Adaptation Strategies)
Reports Summarize Machine Learning Study Results from University of Leicester (E valuating Flood Damage to Paddy Rice Fields Using PlanetScope and Sentinel-1 Dat a in North-Western Nigeria: Towards Potential Climate Adaptation Strategies)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting originating from Leicestersh ire, United Kingdom, by NewsRx correspondents, research stated, “Floods are sign ificant global disasters, but their impact in developing countries is greater du e to the lower shock tolerance, many subsistence farmers, land fragmentation, po or adaptation strategies, and low technical capacity, which worsen food security and livelihoods. Therefore, accurate and timely monitoring of flooded crop area s is crucial for both disaster impact assessments and adaptation strategies.”
University of LeicesterLeicestershireUnited KingdomEuropeCyborgsEmerging TechnologiesMachine Learning
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