农业大数据学报 ›› 2020, Vol. 2 ›› Issue (4): 120-124.doi: 10.19788/j.issn.2096-6369.200415

• 数据论文 • 上一篇    

中国苹果叶片病虫害2015年光谱和图像数据集

高飞1,5(), 王晓丽1,3,4, 刘婷婷1,3,4(), 李壮2, 满芮1,3,4   

  1. 1.中国农业科学院农业信息研究所,北京 100081
    2.中国农业科学院果树研究所,辽宁 125100
    3.国家农业科学数据中心,北京 100081
    4.农业农村部农业大数据重点实验室,北京 100081
    5.广东省农业科学院农业经济与农村发展研究所,广东 510640
  • 收稿日期:2020-10-09 出版日期:2020-12-26 发布日期:2021-03-11
  • 通讯作者: 刘婷婷 E-mail:gaofei20120214@163.com;liutingting@caas.cn
  • 作者简介:高飞,男,博士,助理研究员,研究方向:农业科学数据获取与分析研究;E-mail:gaofei20120214@163.com
  • 基金资助:
    中国农业科学院创新工程:数据整合与应用服务研究(2020CX017)

Spectral and Imaging Datasets of Apple Leaf Disease and Insect Pests in China in 2015

Fei Gao1,5(), Xiaoli Wang1,3,4, Tingting Liu1,3,4(), Zhuang Li2, Rui Man1,3,4   

  1. 1.Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China
    2.Institute of Pomology of Chinese Academy of Agricultural Sciences, Liaoning 125100, China
    3.National Agriculture Science Data Center, Beijing 100081, China
    4.Key Laboratory of Big Agri-Data, Ministry of Agriculture, Beijing 100081, China
    5.Guangdong Academy of Agriculture Sciences, Guangdong 510640, China
  • Received:2020-10-09 Online:2020-12-26 Published:2021-03-11
  • Contact: Tingting Liu E-mail:gaofei20120214@163.com;liutingting@caas.cn

摘要:

中国苹果种植面积和总产量居世界首位,但目前在果树光谱和图像数据采集研究中,多数集中在对受害苹果果实的光谱和图像数据采集,对苹果叶片病虫害数据采集的研究报道较少。本研究通过收集国家苹果资源圃中分别患有斑点落叶病、红蜘蛛虫害、白粉病3种不同病虫害的苹果叶片光谱反射率和图像数据,为苹果叶片在不同病虫害胁迫下进行有效识别提供数据基础,并为今后利用航空航天遥感进行大面积果树病虫害监测提供数据基础。

关键词: 苹果叶片, 病虫害, 近红外光谱, 图像, 科学数据

Abstract:

China’s apple planting area and total output rank first in the world, but most of the current collection of spectral and imaging data from fruit trees focuses on apple leaf diseases and insect pests. In this study, the spectral reflectance and imaging data from apple leaves having three different diseases, spot leaf fall and powdery mildew, or the red spider insect pest, were collected from the National Apple Resource Nursery to provide data for the effective identification of apple leaves exposed to different diseases and insect pests. This will provide a foundation for the future use of aerospace remote sensing to monitor large-scale fruit tree diseases and associated insect pests.

Key words: apple leaf diseases, insect pests, near-infrared spectrum, image, scientific data

中图分类号: 

  • S-3