Journal of Agricultural Big Data ›› 2022, Vol. 4 ›› Issue (2): 30-35.doi: 10.19788/j.issn.2096-6369.220205

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Near-infrared Spectral Data Set of Apple Quality and Disease of Fuji Apple in Liaoning Province

Xianghe Zhang1,2(), Tingting Liu1,2,3, Xiaoli Wang1,2,3, Lin Hu1,2, Jingchao Fan1,2,3(), Linlin Jiang4   

  1. 1.Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China
    2.National Agriculture Science Data Center, Beijing 100081, China
    3.Key Laboratory of Big Agri-Data, Ministry of Agriculture, Beijing 100081, China
    4.Poly International Ecological Environment Management (Beijing) Co. , Ltd, Beijing 100027, China
  • Received:2022-03-22 Online:2022-06-26 Published:2022-11-08
  • Contact: Jingchao Fan E-mail:zhxianghe@163.com;fanjingchao@caas.cn

Abstract:

In recent years, near infrared spectroscopy (NIRS) has become the preferred method for rapid nondestructive testing due to its effectiveness. At present, the collection of near-infrared spectral data of apple fruits is limited to the internal quality of apples. However, apple fruit is prone to disease, and its disease spectral data is of great significance, which has the value of redevelopment and utilization, and is helpful for scientific research and discovery. In this data set, the Fuji apples produced in Xingcheng city of Liaoning Province in 2010 were inoculated with anthrax and Physalospora piricola, and the relevant data were collected by NIR spectroscopy. Meanwhile, the NIR data of the original quality was collected as the control. This data set includes 2150 pieces of near-infrared spectral detection data of apple quality and 958 pieces of disease detection data. The data storage format is ASD file, totaling 121MB. The data set can provide a data basis for the identification model of apple fruit diseases and the research of nondestructive testing methods.

Key words: apple, fruit disease, near infrared spectrum, nondestructive testing

CLC Number: 

  • S432