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Journal of Chinese Agricultural Mechanization

Journal of Chinese Agricultural Mechanization ›› 2024, Vol. 45 ›› Issue (11): 272-277.DOI: 10.13733/j.jcam.issn.2095‑5553.2024.11.042

• Comprehensive Research • Previous Articles     Next Articles

Investigation and analysis of the present status of unmanned wheat sowing operation in Jiangsu farms

Zhang Ping1, Wang Yan1, Zhang Jie1, Liu Haoyi2, Ding Yongqian2, Liu Yingying2   

  1. 1. Jiangsu Agricultural Machinery Testing Station, Nanjing, 210017, China; 
    2. College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, 210031, China
  • Online:2024-11-15 Published:2024-10-31

江苏农场小麦播种无人化作业现状调研及分析

张平1,王堰1,张婕1,刘浩义2,丁永前2,刘璎瑛2   

  1. 1. 江苏省农业机械试验鉴定站,南京市,210017; 2. 南京农业大学人工智能学院,南京市,210031
  • 基金资助:
    江苏省现代农机装备与技术示范推广项目(NJ2020—60)

Abstract:  In order to understand the popularization and utilization efficiency of intelligent and unmanned wheat seeders in farms in Jiangsu Province, and to provide references for the formation of a technical system and application mode of “Unmanned” equipment suitable for the entire process of rice‑wheat rotation planting in the field, several typical large farms and small family farms in Jiangsu Province were selected to conduct an investigation on the application status of intelligent wheat seeders. Comparative tests were conducted by using a typical rotary tillage seeder under two operating modes of manual driving and navigation‑assistant driving, and analysis of variance was applied on analyzing the fuel economy of the two seeding modes. The results of analysis of variance in farm investigation and testing experiments indicated that the wide application of linear navigation‑assistant driving technology was mainly reflected in intelligent and unmanned farm seeding, and differences in driving modes had no significant impact on fuel economy. The main factors affecting fuel economy were throttle opening and speed of the tractor. Compared to manual driving mode, linear navigation‑assistant driving mode can effectively reduce missed and replayed rates of seeding, decreasing from 2%-5% to less than 0.1%.

Key words: Jiangsu Province, unmanned operation, navigation?assistant driving, wheat seeder, farm investigation

摘要: 为了解江苏省内农场智能化与无人化小麦播种机普及情况和使用效益情况,选择江苏省内若干典型大型农场和小型家庭农场开展智能化小麦播种机应用现状调研。采用典型的旋耕播种机开展人工驾驶和辅助驾驶两种播种模式下的燃油经济性对比测试试验,并对燃油经济性测试数据进行方差分析。结果表明:农场智能化和无人化播种作业特征主要为直线辅助驾驶技术的广泛应用,播种驾驶模式的不同对燃油经济性没有显著影响,影响燃油经济性的主要因素为拖拉机油门开度和作业速度;直线辅助驾驶模式下,漏播率和重播率从人工驾驶模式的2%~5%降低至0.1%以下。

关键词: 江苏省, 无人化作业, 辅助驾驶, 小麦播种机, 农场调研

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