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及时准确地获取田间作物生长状况及环境信息,是对农作物进行精准管理的前提和基础.无人机低空遥感技术在获取不同尺度作物影像方面具有不可比拟的优势,已成为农情信息监测的重要手段和方法.文章主要针对无人机低空遥感系统的构成、作物长势监测、产量预测、营养诊断、病虫草害监测、作物倒伏、生长胁迫诊断等方面的研究和应用进行了总结与剖析,分析了无人机低空遥感在农情信息监测方面存在的问题,最后提出了应用前景和发展趋势.未来的研究应侧重于农情遥感监测的广度和深度不断拓展、智能化不断发展以及低成本、微小型化传感设备的探究,利用多源数据的融合与互补性,形成通用性强、易操作的解决方案,进一步扩大无人机低空遥感在精准农业作物表型信息获取与解析中的应用范围.
Abstract：Timely and accurate acquisition of field crop growth and environmental information is the premise and basis for accurate crop management. Unmanned aerial vehicle(UAV) low-altitude remote sensing technology has incomparable advantages in obtaining crop images of different scales and it has become an important means and method of agricultural information monitoring. In this article, stata the system composition of UAV remote sensing platform was summarized, and UAV remote sensing research and application fields including crop condition monitoring, yield prediction, nutrition diagnosis monitoring, plant diseases and insect pests, weeds, crop lodging,growth stress diagnosis were analyzed. There were also research limitations in agricultural information monitoring using UAV low altitude remote sensing and we put forward the application prospect and development trends in the future. It is pointed out that the future research should focus on the breadth and depth of remote sensing monitoring agricultural information expanding development, further intelligent and lowest cost, the micro miniaturization of sensing equipment to explore, using multi-source data fusion and complementary to each other, the solution with strong universality and easy operation, which will be formed to further expand the application of UAV low-altitude remote sensing in crop surface information acquisition and analysis in precision agriculture.
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基本信息:
DOI：10.13568/j.cnki.651094.651316.2020.09.26.0002
中图分类号:S127
引用信息:
[1]樊湘鹏,周建平,许燕.无人机低空遥感监测农情信息研究进展[J].新疆大学学报(自然科学版)(中英文),2021,38(05):623-631.DOI:10.13568/j.cnki.651094.651316.2020.09.26.0002.
基金信息:
新疆维吾尔自治区研究生科研创新项目(XJ2019G033)