Sowing Depth Monitoring System for High-Speed Precision Planters Based on Multi-Sensor Data Fusion

• Published in: Sensors (Basel, Switzerland) Vol. 24; no. 19; p. 6331
• Main Authors: Wang, Song, Yi, Shujuan, Zhao, Bin, Li, Yifei, Li, Shuaifei, Tao, Guixiang, Mao, Xin, Sun, Wensheng
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 30.09.2024; MDPI
• Subjects: Accuracy; Agricultural equipment and supplies industry; Algorithms; data fusion; extended Kalman filter; high-speed no-till seeder; improved sparrow search algorithm; Lasers; Monitoring systems; Sensors; Simulation methods; sowing depth monitoring; United States; China; data fusion; improved sparrow search algorithm; sowing depth monitoring; extended Kalman filter; high-speed no-till seeder

High-speed precision planters are subject to high-speed (12~16 km/h) operation due to terrain undulation caused by mechanical vibration and sensor measurement errors caused by the sowing depth monitoring system’s accuracy reduction problems. Thus, this study investigates multi-sensor data fusion tec...