我国智能农机的研究进展与无人农场的实践
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广东省重点领域研发计划(2019B020224001);中国工程院战略咨询研究项目(2021-XBZD-13-43,2019-ZD-5-17);广东省科技计划(2021B1212040009)


Research progress of intelligent agricultural machinery and practice of unmanned farm in China
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    摘要:

    智慧农业是现代农业的高级形式,无人农场是实现智慧农业的重要途径,智能农机是无人农场的物质支撑。本文以植物生产为例,介绍了智能农机的智能感知、自动导航、精准作业和智慧管理4项功能在智慧农业中的地位和关键技术的研究进展;介绍了华南农业大学集成相关智能农机创建水稻无人农场的实践和无人农场的5个特点,包括耕种管收生产环节全覆盖、机库田间转移作业全自动、自动避障异况停车保安全、作物生产过程实时全监控和智能决策精准作业全无人。在2020年的中稻和2021年的早稻生产中,水稻无人农场的稻谷产量均高于当地的平均产量,表明了其巨大的发展潜力。无人农场的建设为解决“谁来种田”和“如何种田”的问题提供了重要途径。

    Abstract:

    Smart agriculture is an advanced form of modern agriculture. Unmanned farm is an important way to realize smart agriculture, and intelligent agricultural machinery is the material support for unmanned farm. Took plant production of intelligent agricultural machinery in smart agriculture as an example, this paper introduced the research progress of status and key technology of four functions of intelligent agricultural machinery, including intelligent information sensing, automatic navigation, precision operation and smart management. South China Agricultural University integrated the intelligent agricultural machinery of rice production and built the unmanned rice farm. The five characteristics of unmanned rice farm are summarized as follows: 1) All production processes, including cultivation, planting, management and harvesting are unmanned; 2) Transfer between hangar and field, and operation are full-automation; 3) Avoiding obstacle and parking automatically at abnormal condition ensure the safety; 4) Real-time monitoring of all production process; 5) Unmanned intelligent decision-making and precision operation. In the production of medium rice in 2020 and early rice in 2021, the yield of rice in unmanned farm was higher than the average yield in traditional farm, which indicated that unmanned farm had great development potential. The construction of unmanned rice farm provides an important way to solve the problems of “who will farm” and “how to farm” in the future of China.

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罗锡文,廖娟,胡炼,周志艳,张智刚,臧英,汪沛,何杰.我国智能农机的研究进展与无人农场的实践[J].华南农业大学学报,2021,42(6):8-17

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  • 收稿日期:2021-08-26
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  • 在线发布日期: 2021-11-04