农业大数据学报 ›› 2023, Vol. 5 ›› Issue (1): 29-33.doi: 10.19788/j.issn.2096-6369.230110

• 数据论文 • 上一篇    下一篇

不同成熟期油菜角果皮生化成分与反射光谱数据集

王克晓(), 周蕊*(), 李波   

  1. 重庆市农业科学院农业科技信息研究所,重庆 401329
  • 收稿日期:2023-01-15 出版日期:2023-03-26 发布日期:2023-05-16
  • 通讯作者: 周蕊,女,硕士,研究方向:农业信息化;E-mail: 12087836@qq.com
  • 作者简介:王克晓,男,硕士,研究方向:农业遥感;E-mail: 447215670@qq.com
  • 基金资助:
    高光谱探测与辐射传输模型结合的油菜结角层PAI信息获取研究(cqaas2021jxjl17)

Biochemistry Indexes and Reflectance Spectra Datasets of Rape Pod Pericarp at Different Maturities

WANG Kexiao(), ZHOU Rui*(), LI Bo   

  1. Institute of Agricultural Science and Technology Information, Chongqing Academy of Agricultural Sciences, Chongqing 401329, China
  • Received:2023-01-15 Online:2023-03-26 Published:2023-05-16

摘要:

高光谱技术为无损探测作物器官生化成分含量提供了有效途径,已经广泛应用于农作物长势监测中。油菜作物角果成熟期是油菜生育期内的重要阶段,其突出特征是叶片为角果所逐渐替代。但在目前的诸多研究中,无论是基于光学辐射传输物理模型,还是统计学上的经验模型,均较少有针对油菜角果高光谱与其生化组分间关系开展的研究。文章数据集为一套由油菜角果反射光谱和角果皮生化成分指标含量组成的数据集,包含利用ASD HandHeld 2手持式地物光谱仪采集的3个不同品种的油菜角果在4个不同成熟期的高光谱反射数据和与之对应的角果皮叶绿素、类胡萝卜素及含水量等生化成分含量指标。该数据集可为油菜角果皮生化成分含量与反射光谱之间的关系研究提供数据基础。

关键词: 数据集, 油菜角果, 反射光谱, 生化成分指标

Abstract:

Hyperspectral technology provides an effective way for nondestructive detection of biochemical components in crop organs, and has been widely used in crop growth monitoring. The pod maturity is an important growth period of rape from flowering to harvest, and the leaves are replaced by siliques gradually. However, there were few studies on the relationship between hyperspectral and biochemical components of the rape pod based on either physical model of optical radiative transfer or empirical statistical models in the current many studies. This data set is a data set consisting of the reflectance spectrum of rape pod and the content of biochemical components in the pod pericarp, including the hyperspectral reflectance data of rape pod of three different varieties at different maturity stages collected by ASD HandHeld2 and the corresponding chlorophyll content, carotenoid content and water content in the pod pericarp, It can provide data basis for exploring the relationship between the content of biochemical components in rape pod and the reflectance spectrum.

Key words: datasets, rape pod, reflectance spectrum, biochemical composition index