首页|基于无人机遥感的作物表型参数获取和应用研究进展

基于无人机遥感的作物表型参数获取和应用研究进展

扫码查看
作物表型参数是由基因和环境因素决定或影响的作物生理、生化特征和性状。通过获取不同环境、不同生长时期的作物表型信息,可直观了解作物生长状况,以及时调整栽培管理措施,保障作物高效生产。无人机搭载RGB相机、光谱相机、激光雷达等传感器,可充分发挥灵活性好、获取数据效率高、成本相对较低等优势,实现作物表型参数信息的高效获取,同时,快速发展的图像处理和识别分类技术又为无人机遥感获取的作物表型参数信息提供了有效的处理和分析方法,从而使得作物监测更加便捷、高效。本文总结了无人机遥感获取作物表型参数信息的流程与方法,概括了基于无人机遥感开展作物株高、冠层覆盖度、叶面积指数、水分胁迫、生物量、产量等表型参数研究的现状,并对无人机遥感技术在作物表型参数信息解析方面的应用前景进行了展望,以期为充分发挥该技术在农业生产中的作用提供参考。
Research Progress of Obtaining and Utilizing Crop Phenotypic Parameters Based on UAV Remote Sensing
Crop phenotypic parameters refer to crop physiological and biochemical characteristics that are determined or influenced by genetic and environmental factors.Through obtaining crop phenotypic information under different environments and growth periods,the growth status of crops could be known intuitively so that cultivation management strategies could be adjusted in time to ensure high crop productivity.Through carrying different sensors such as RGB camera,spectrum camera and LIDAR,UAV remote sensing has advantages of good flexibility,high efficiency and relatively low cost in acquiring data,which provides an efficient way to obtain crops phenotypic information.At the same time,fast developing image processing and recognition and classification technologies provides effective processing and analysis methods for crop phenotypic parameter in-formation obtained by UAV remote sensing.All these make crop monitoring more convenient and efficient.In this paper,process and methods of obtaining phenotypic parameter information were introduced,and research status of crop phenotypic parameters based on UAV remote sensing such as plant height,canopy coverage,leaf area index,water stress,biomass and yield were summarized,and the application foreground of UAV remote sensing technology in crop phenotypic information analysis was prospected,hoping to provide references for better application of the technology in agricultural production.

UAV remote sensingCrop phenotypic parametersCrop monitoring

曾世伟、侯学会、王宗良、骆秀斌、巫志雄、王宏军

展开 >

聊城大学物理科学与信息工程学院,山东 聊城 252000

山东省农业科学院农业信息与经济研究所,山东 济南 250100

无人机遥感 作物表型参数 作物监测

山东省自然科学基金国家重点研发计划

ZR2021M0552021YFB3901303

2024

山东农业科学
山东省农业科学院,山东农学会,山东农业大学

山东农业科学

CSTPCD北大核心
影响因子:0.578
ISSN:1001-4942
年,卷(期):2024.56(4)
  • 71