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A real-time monitoring system for soybean precision seed metering devices was developed using photoelectric sensors to evaluate performance metrics such as miss, multiples, flow rate, and application rate. Laboratory results indicated detection errors of seeding quantity were under 2.0%, with the system outperforming existing monitoring platforms. This system aims to enhance seeding operation management and improve agricultural productivity by providing timely feedback on seeding quality.

Author

indaniahalwa

Language

EN