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  1. KRISHI Publication and Data Inventory Repository
  2. Agricultural Engineering A2
  3. ICAR-Central Institute of Agricultural Engineering B6
  4. AEng-CIAE-Publication
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Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/65699
Title: Modeling of engineering properties for predicting the mass of acid lime fruit (Citrus aurantifolia Swingle)
Other Titles: Not Available
Authors: V. S. Sonone
D.A. Pawar
V. P. Kad
P. A. Unde
ICAR Data Use Licennce: http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf
Author's Affiliated institute: ICAR::Central Institute of Agricultural Engineering
Published/ Complete Date: 2020-03-20
Project Code: Not Available
Keywords: Engineering properties
mass models
surface area
volume
Publisher: ISAE
Citation: Sonone VS, Pawar DA, Kad VP Unde PA. (2020). Modeling of engineering properties for predicting the mass of acid lime fruit (Citrus aurantifolia Swingle). Agricultural Engineering Today, 44(1), pp: 20-28.
Series/Report no.: Not Available;
Abstract/Description: Engineering properties and their relationships with mass for Phule Sharbati acid lime cultivar were investigated. Relationship between physical properties of fruits and its mass will create tremendous change in the packaging industry. The mean values of engineering properties such as minor diameter, intermediate diameter, major diameter, geometric mean diameter, sphericity, aspect ratio, mass, surface area, volume and true density were found to be 42.55 mm, 41.20 mm, 40.41 mm, 0.94, 0.94, 38.17g, 49997 mm2 , 33322.8 mm3 and 1 g/cc, respectively. Regression models were used to predict the effect of mass of acid lime and classified into two: 1–Single and multiple variable regressions of acid lime mass and dimensional characteristics and 2- Single variable regression for geometric mean diameter, sphericity, surface area and volume. Results indicated that mass modeling of acid lime based on minor diameter was found most appropriate in the first classification. In the second classification, the power-law model was noticed best on the basis of the geometric mean diameter, surface area and the volume.
Description: Not Available
ISSN: Not Available
Type(s) of content: Research Paper
Sponsors: Not Available
Language: English
Name of Journal: Agricultural Engineering Today
Journal Type: National Journal
NAAS Rating: 4.23
4.23
Volume No.: 44(1)
Page Number: 20-28
Name of the Division/Regional Station: Agro Produce Processing Division
Source, DOI or any other URL: 10.52151/aet2020441.1515
URI: http://krishi.icar.gov.in/jspui/handle/123456789/65699
Appears in Collections:AEng-CIAE-Publication

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