Nondestructive Methods for the Quality Assessment of Fruits and Vegetables Considering Their Physical and Biological Variability

2022 ◽  
Author(s):  
Shijie Tian ◽  
Huirong Xu
Keyword(s):  
Quality Assessment ◽  
Fruits And Vegetables ◽  
Biological Variability ◽  
Nondestructive Methods

scholarly journals Quality Assessment of Fruits and Vegetables using Bio-impedance based Expert System

2020 ◽  
Vol 9 (8) ◽  
pp. 965-970
Keyword(s):  
Expert System ◽  
Quality Assessment ◽  
Fruits And Vegetables ◽  
Daily Intake ◽  
Daily Basis ◽  
Assessment Methods ◽  
World Health ◽  
Micronutrient Deficiencies ◽  
Health Organization

World Health Organization (WHO) recommends a daily intake of at least 400 grams of fruits and vegetables, to prevent diet related chronic diseases and micronutrient deficiencies. It is essential to ensure the quality of foods consumed by the population on a daily basis. Quality of fruits and vegetables is governed by nutritional level, appearance, flavor and climate. Quality assessment methods should be environment friendly and should also benefit both consumers and farmers by enhancing taste and increasing yield, respectively. Conventionally employed quality assessment methods like bio-chemical analysis, imaging etc. are destructive, inefficient and time consuming. Bio-tissues are made up of cells with selectively permeable cell membranes and this makes them equivalent to resistive-capacitive network. Such a network impedes an alternating current (AC) excitation signal applied to it. This bio-impedance (BI) is measured through LCR meters, impedance analysers and off-the shelf chip based boards. In this work we have developed an accurate, smart and non destructive bio-impedance based quality evaluation technique. BI is measured as magnitude and phase for 7 days for each variety of fruit and vegetable followed by exhaustive frequency (5 kHz-200 kHz), ripening and rot analysis. BI magnitude increases as number of days advance i.e. with ripening and the phase undergoes considerable decrease with rotting. The system is made smart by incorporating an expert system. 178 samples of bio-impedance data are used to train the expert system and supervised classification is done through Random Forest classifier. Any fruit or vegetable can be classified as ’Good’ or ’Bad’ immediately and accurately with a maximum accuracy of 98.57%

scholarly journals Monitoring of Stiffness Estimation for Tomato During Storage Period

2021 ◽  
Vol 2129 (1) ◽  
pp. 012104
Author(s):  
M K R Hashim ◽  
M N A Uda ◽  
Muhammad Adi Yusri Mohd Sabri ◽  
U Hashim ◽  
M N Afnan Uda
Keyword(s):  
Quality Assessment ◽  
Sound Wave ◽  
Fruits And Vegetables ◽  
Storage Period ◽  
Cost Effective ◽  
Assessment Method

Abstract The quality assessment through stiffness or firmness is widely used to identify the maturity of fruits and vegetables. Most of assessment method are destructive and no cost effective. This study was done to develop a stiffness estimation for tomato during storage period by using acoustics method. This project involved the usage of modern tools such as Arduino and LabVIEW where both of them were used to controls and regulate the data collected from a buzzer that produced sinusoidal sound wave. The time taken for the sound wave to reach the microphone were recorded as it was considered as the important factor in determining the stiffness factor, S, alongside the changing mass and diameter of the tomato during its storage period. At the end of the project, it was shown that the stiffness value of the tomato decreases in hand as the day progress. Furthermore, the correlation of the parameters was also calculated in which R2 value between stiffness and weight was finalized at 0.8993, with equation of y = 379.45 × – 40.321. The findings had successfully proved that the parameters involved in the research are greatly related.

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