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      基于无人机多光谱影像的烟田智慧管理应用与挑战

      Applications and Challenges of Smart Field Management of Tobacco Production Based on UAV Multispectral Imaging

      • 摘要: 随着农业4.0时代的到来,烤烟种植逐渐向智慧农业的发展方向。无人机多光谱影像技术作为智慧农业的关键工具之一,在烟草大田管理中展现出巨大的应用潜力,尤其是我国大疆Phantom 4 Multispectral (P4M)无人机的普及,为该技术在烟草行业的应用奠定了坚实基础。本研究系统论述了无人机多光谱影像技术在烤烟大田智慧管理中的具体应用,包括烤烟种植面积监测、烟株长势监测、烟叶产量和质量预测、营养诊断与施肥、土壤水分监测及病虫害预测预报等。这些技术手段能显著提升烤烟大田生产管理的精准化和智慧化水平,有助于优化资源利用,提高烟叶产量和质量。然而,在实际应用过程中,仍然面临技术成本高、数据处理复杂、缺乏标准化操作流程等问题,需要开展进一步研究。

         

        Abstract: With the advent of Agriculture 4.0, flue-cured tobacco cultivation is moving towards the development of smart agriculture. As a key tool in smart agriculture, unmanned aerial vehicle (UAV) multispectral imaging technology has shown significant potential in the management of tobacco fields. The widespread use of the DJI Phantom 4 Multispectral (P4M) drone in China, in particular, has laid a solid foundation for the application of this technology in tobacco industry. Here we systematically review the application of UAV multispectral imaging technology in the smart management of flue-cured tobacco fields, including monitoring of planting area and growth, yield and leaf quality prediction, nutritional diagnosis and fertilization, soil moisture monitoring, and pest and disease prediction. These technological approaches can significantly enhance the smart field management of tobacco production, optimizing resource usage and improving yield and quality. However, challenges such as high technical costs, complex data processing, and a lack of standardized operating procedures remain in practical application. Further research is required to address these issues.

         

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