4.7 Article

Monitoring Hybrid Rice Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data

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Summary: The study introduced an efficient deep learning approach for detecting the development stages of paddy rice using images captured by a handheld camera, achieving high accuracy. Findings indicated that images taken at large view angles contained valuable information and could enhance model performance.

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