Technical Name Real-time identification of crop losses using UAV imagery
Project Operator National Chung Hsing University
Project Host 楊明德
Summary
Based on edge computingmachine learning, a real-time identification technique using unmanned aerial vehicles (UAV imagery is developedapplied to rice lodging damage evaluation for demonstration. A rice lodging identification model is built through an explicit training with a large number of UAV images taken from rice paddies representing normaldamaged conditions. The rice lodging id
Scientific Breakthrough
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Industrial Applicability
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