Year: 2024 | Month: December | Volume 11 | Issue 2

Application of Multiple Linear Regression for Predicting the Quality of Jasmine Flower Under Varying Packaging and Storage Conditions

Syed Mazar Ali Udaykumar Nidoni Palanimuthu Sharangouda Hiregoudar Ramappa K.T. Ramesh G. Nagraj Naik
DOI:10.30954/2347-9655.02.2024.8

Abstract :

The present study investigates the effects of different packaging materials and storage durations on the quality of jasmine flowers stored at 5°C, focusing on key parameters such as browning index, moisture content, and freshness index. Four packaging materials P0 (bamboo basket with newspaper lining), P1 (corrugated fiberboard with PP lining), P2 (corrugated fiberboard with PE lining), and P3 (nylon bag) were evaluated over 16 days. Among these, P2 demonstrated superior performance, recording the lowest
browning index (47.89) and highest moisture content (47.6%) on the 16th day, effectively maintaining flower quality. Conversely, P0 exhibited the highest browning index (54.04) and rapid moisture loss, leading to spoilage by the 12th day. Correlation analysis indicated a strong positive relationship between storage time and browning index (0.891), confirming that browning increases over time, while moisture content showed a negative correlation (-0.776) with storage duration. The multiple linear regression (MLR) model
confirmed the significant influence of these components with higher determination of coefficient of R2 = 0.98 which made them tool to predict quality determination in jasmine flower.

Highlights

  • Determination of optimal packaging for Jasmine flowers.
  • Predictive multiple regression model for quality determination.


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