Journal of Agricultural Big Data >
Spectral and Imaging Datasets of Apple Leaf Disease and Insect Pests in China in 2015
Received date: 2020-10-09
Online published: 2021-03-11
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
Fei Gao, Xiaoli Wang, Tingting Liu, Zhuang Li, Rui Man . Spectral and Imaging Datasets of Apple Leaf Disease and Insect Pests in China in 2015[J]. Journal of Agricultural Big Data, 2020 , 2(4) : 120 -124 . DOI: 10.19788/j.issn.2096-6369.200415
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