Journal of Agricultural Big Data ›› 2020, Vol. 2 ›› Issue (4): 120-124.doi: 10.19788/j.issn.2096-6369.200415

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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

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

CLC Number: 

  • S-3