Journal of Agricultural Big Data ›› 2023, Vol. 5 ›› Issue (1): 29-33.doi: 10.19788/j.issn.2096-6369.230110

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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

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