中国果树花期2016年近红外光谱和图像数据集

doi:10.19788/j.issn.2096-6369.210110

Abstract

Abstract:

Remote sensing technology must first determine tree species in the area of interest before carrying out various follow-up tasks. Therefore, the classification of fruit tree species is particularly important. Fruit tree flowers are easier to distinguish using traits other than leaves. However, most of the currently collected fruit tree flowering data is from flowering period images or the spectral data of a single tree line. The data are also confined to outdoor canopy spectra, with limited studies in which indoor and outdoor spectral and imaging data have been collected simultaneously. Consequently, here, the ASD FieldSpec3 portable spectrum analyzer was used to collect indoor and outdoor spectral data during pear, apple, and apricot tree flowering periods. To record the flower states, the indoor and outdoor imaging datasets from the fruit tree flowering periods were collected for future evaluation. Using ground spectral test data to scientifically identify fruit tree species will provide a foundation for further research.

Key words: fruit tree, flowering period, near-infrared spectrum, image, scientific data

CLC Number:

Xiaoli Wang, Qianhao Hu, Rui Man, Tingting Liu. Near-Infrared Spectral and Imaging Datasets of Fruit Tree Blooming in China in 2016[J].Journal of Agricultural Big Data, 2021, 3(1): 88-93.

Figures/Tables 4

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References 10

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数据集中文名称	中国果树花期2016年近红外光谱和图像数据集
数据集英文名称	An near infrared spectrum and image data set of China’s fruit tree blooming in 2016
作者	王晓丽、胡乾浩、满芮、刘婷婷
通讯作者	满芮（manrui@caas.cn）
采集时间	2016年	采集区域	中国
格式	.asd, .jpeg, .sco	数据量	494.3MB
数据访问地址	http://www.agridata.cn/data.html#/paperdetail?id=4362
基金项目	中国农业科学院创新工程：数据整合与应用服务研究(2020CX017)
数据集组成	数据集由花期光谱和图像2部分数据组成，其中： 1. 花期光谱数据集，包含苹果、梨和杏花期室内和室外光谱，共87.3MB； 2. 图像数据集，包含苹果和梨花期室内图像，苹果、梨和杏花期室外图像，共407MB。

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Near-Infrared Spectral and Imaging Datasets of Fruit Tree Blooming in China in 2016

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