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Document details - Develop Nondestructive Database of Seasonal Fruits and Reviews on spectral preprocessing techniques

Journal Volume 7, Issue 2, March - April 2018, Article 8712001 Rashmi Vijay Agrawal, R. R. Deshmukh , " Develop Nondestructive Database of Seasonal Fruits and Reviews on spectral preprocessing techniques" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 7, Issue 2, March - April 2018 , pp. 090-094 , ISSN 2278 - 6856.

Develop Nondestructive Database of Seasonal Fruits and Reviews on spectral preprocessing techniques

    Rashmi Vijay Agrawal, R. R. Deshmukh

Abstract

Abstract: The sufficient nutrient is one of the most important factor in producing quality of fruits. This requires analysis of a large number of fruit samples using expensive and time consuming chemical techniques. The most popular alternative is NIR Spectroscopy to wet chemistry procedure for determine concentration of major groups of chemical compounds. It has a combination of speed, accuracy and simplicity. The NIR is a noninvasive technique increasingly used in pharmaceutical, agricultural, food and beverage industries. This paper present process of acquire spectral data of fruit, visualize this spectral data and review of preprocessing method to remove physical interferences of spectral data. Keywords: Non- destructive, spectral Signature, Spectroradiometer.

  • ISSN: 22786856
  • Source Type: Journal
  • Original language: English

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