园艺学报 ›› 2021, Vol. 48 ›› Issue (8): 1626-1634.doi: 10.16420/j.issn.0513-353x.2021-0441

• 新技术 • 上一篇    下一篇


王浩淼1, 宋苗语1, 李翔2, 扈朝阳1, 鲁任翔1, 王翔3, 马会勤1,*()   

  1. 1中国农业大学园艺学院,北京 100193
    2中山汉鲲智能科技有限公司北京分公司,北京 100193
    3怀来紫晶庄园葡萄酒有限公司,河北怀来 075400
  • 收稿日期:2021-05-06 修回日期:2021-08-11 出版日期:2021-08-25 发布日期:2021-09-06
  • 通讯作者: 马会勤
  • 基金资助:

High Efficient Grapevine Growth Monitor and In-lane Deficiency Localization by UAV Hyperspectral Remote Sensing

WANG Haomiao1, SONG Miaoyu1, LI Xiang2, HU Chaoyang1, LU Renxiang1, WANG Xiang3, MA Huiqin1,*()   

  1. 1College of Horticulture,China Agricultural University,Beijing 100193,China
    2Zhongshan Hankun Intelligent Technology Co.,Ltd,Beijing 100193,China
    3Huailai Amethyst Manor,Huailai,Hebei 075400,China
  • Received:2021-05-06 Revised:2021-08-11 Online:2021-08-25 Published:2021-09-06
  • Contact: MA Huiqin


利用无人机连续两年在同一个葡萄园开展了4个品种长势监测和缺株定位探索,以飞行高度70 m,速度5 m · s-1,在监测面积187 015 m2上利用多光谱相机共获得数据69 296 004个,每个像素点对应地面5 cm × 5 cm。以EnsoMOSAIC软件对数据进行处理,获得归一化植被指数(NDVI)。以NDVI > 0.75为长势优良的标准,2019年葡萄园长势评定为“一般”“良好”“优良”的面积分别为20.51%、46.15%和35.90%。2020年10月初葡萄园遭遇早霜,NDVI数据明显降低,表明NDVI可用于葡萄园霜冻损害的快速评估。以连续性 < 0.6为标准进行缺株定位,有12行存在缺株且80%以上分布在长势“一般”的地块中,与对地块整体长势评估结果一致。本研究结果表明基于无人机的高光谱遥感成像技术在葡萄园风土(terrior)划分、植株长势分析与霜冻评估中均有良好的应用前景。

关键词: 葡萄, 生长势, 无人机遥感, 归一化植被指数, 缺株定位, 风土, 精准农业


Precise orchard management requires efficient,comprehensive and accurate growth data acquisition from the entire orchard. Traditional methods in such data collection are inefficient and with subjective bias. To solve the problem,we tested the use of unmanned aerial vehicle(UAV)to carry out growth monitoring and in-lane deficiency localization in a vineyard for two consecutive years. The main results go as:a total of 69 296 004 pixels have been obtained over an area of 187 015 m2 using a multi-spectral camera carrying by a UAV with a flying height of 70 meters and a speed of 5 m · s-1. The data was processed with EnsoMOSAIC software to obtain the Normalized Difference Vegetation Index(NDVI). Taking NDVI > 0.75 as the criterion for good growth,the areas of the vineyard evaluated as“ordinary”,“good”and“excellent”in 2019 were 20.51%,46.15% and 35.90% respectively. Early frost at the beginning of October in 2020 resulted in significant decrease in NDVI and increased standard error,demonstrating that NDVI can be used for timely frost impact assessment. Based on a threshold of continuity < 0.6,in-lane deficiency localization was tested in a Cabernet Sauvignon plot,12 lanes were identified with in-lane deficiency,among of them 10 lanes were located in“ordinary”growth plots,which was in consistent with the evaluation results of the overall growth of the vineyard. Taking together,our results showed that UAV-based hyperspectral remote sensing imaging technology has good application prospects in vineyard plant growth analysis and frost assessment.

Key words: grape, vegetative vigor, UAV remote sensing, NDVI, in-lane deficiency localization, precise agriculture