基于物联网与低空遥感的农业病虫害监测技术研究
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S431

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国家重点研发计划(2017YFD0800204);国家自然科学基金面上项目(31670554);江苏省自然科学基金面上项目(BK20161527)


Research on Agricultural Disease and Pest Monitoring Technology Based on Internet of Things and Low Altitude Remote Sensing
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    摘要:

    随着信息化技术的发展,物联网技术和以无人机为代表的低空遥感技术被广泛应用于生产实践和环境监测等领域。在现代农业病虫害监测中,物联网和低空遥感技术可以分别从地面微观和空中宏观角度监测农作物病虫害情况以及分析其致病环境因素。农场通常位于远离基础设施的偏远地区,农业物联网应用面临能量供应受限问题。无人机收集农场病虫害信息具有灵活度高、成本低以及可以保证数据及时性等优势,但无人机面临滞空时间短、电池更换频繁等问题。本文通过建立一种光照模型,实现太阳能板与太阳光之间夹角自动调整,使得太阳能电池板始终确保与太阳光线垂直,有效提高太阳能的利用率。在无人机应用方面,通过调整无人机机翼在航拍时与农场风向之间的角度,可以使得无人机充分利用农场风能,减少能量消耗,延长飞行时间,用以满足农场病虫害监测需求。另外,结合无人机监测结果与物联网获取的农场环境信息进行分析,可得出农场病虫害的发生与环境之间的关系,研究分析病虫害发病环境机理。

    Abstract:

    With the development of information technology, the Internet of Things(IoT) technology and low altitude remote sensing technology represented by drones have been widely used in fields such as production practice and environmental monitoring. In modern agricultural pest monitoring, the IoT and low altitude remote sensing technology can monitor crop pests and diseases from the ground microscopic and aerial macroscopic perspectives, and analyze their pathogenic environmental factors. Farms are usually located in remote areas far away from infrastructure,and agricultural IoT applications face limited energy supply. UAVs collect information on farm diseases and insect pests, which have the advantages of high flexibility, low cost, and timeliness of data. However, UAVs face problems such as short stagnation time and frequent battery replacement. By establishing a lighting model, the article realizes the automatic adjustment of the angle between the solar panel and the sunlight, so that the solar panel is always perpendicular to the sun's rays, and effectively improves the utilization of solar energy. In terms of drone applications,by adjusting the angle between the drone's wings and the wind direction of the farm during aerial photography, the drone can make full use of farm wind energy, reduce energy consumption, and extend flight time to meet the needs of farm pest monitoring.. In addition, by analyzing the results of drone monitoring and farm environmental information obtained by the IoT, the relationship between the occurrence of plant diseases and insect pests and the environment can be obtained, and the environmental mechanism of disease and insect pests can be studied and analyzed.

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高德民,史东旭,薛卫,胡滨.基于物联网与低空遥感的农业病虫害监测技术研究[J].东北农业科学,2021,46(1):108-113.

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  • 收稿日期:2019-02-25
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  • 在线发布日期: 2024-11-25
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