Innovative non-destructive technologies for quality monitoring of pineapples: Recent advances and applications

Ali, Maimunah Mohd; Hashim, Norhashila; Bejo, Siti Khairani; Jahari, Mahirah; Shahabudin, Nurul Aqilah

doi:10.1016/j.tifs.2023.02.005

Cited by 19 publications

(8 citation statements)

References 70 publications

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“…( a ) A comparison between electronic nose and human olfactory processes [ 73 ]. ( b ) The composition and working principle of electronic nose system [ 74 ].…”

Section: Figurementioning

confidence: 99%

Intelligent System/Equipment for Quality Deterioration Detection of Fresh Food: Recent Advances and Application

Wang,

Zhang,

Jiang

et al. 2024

Foods

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The quality of fresh foods tends to deteriorate rapidly during harvesting, storage, and transportation. Intelligent detection equipment is designed to monitor and ensure product quality in the supply chain, measure appropriate food quality parameters in real time, and thus minimize quality degradation and potential financial losses. Through various available tracking devices, consumers can obtain actionable information about fresh food products. This paper reviews the recent progress in intelligent detection equipment for sensing the quality deterioration of fresh foods, including computer vision equipment, electronic nose, smart colorimetric films, hyperspectral imaging (HSI), near-infrared spectroscopy (NIR), nuclear magnetic resonance (NMR), ultrasonic non-destructive testing, and intelligent tracing equipment. These devices offer the advantages of high speed, non-destructive operation, precision, and high sensitivity.

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“…( a ) A comparison between electronic nose and human olfactory processes [ 73 ]. ( b ) The composition and working principle of electronic nose system [ 74 ].…”

Section: Figurementioning

confidence: 99%

Intelligent System/Equipment for Quality Deterioration Detection of Fresh Food: Recent Advances and Application

Wang,

Zhang,

Jiang

et al. 2024

Foods

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“…External defects include the evidence of rot, bruising, crushing, shriveling, and wilting due to water loss which impact market value and the price of the fruits and vegetables ( Raj and Suji, 2019 ). These defects can be recognized and monitored through the appearance of the crop by qualified personnel relying on subjective evaluation, which may result in human errors ( Ali et al., 2023 ). Sahu et al.…”

Section: Quality Inspection Of Tropical Fruits and Vegetablesmentioning

confidence: 99%

“…Ali et al. ( Ali et al., 2023 ) investigated FTIR, NIR, and machine vision in the quality monitoring of pineapples. Metlenkin et al.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, visible and near-infrared spectroscopy was used to investigate the internal browning in mango fruits (Gabriëls et al, 2020). Ali et al (Ali et al, 2023) investigated FTIR, NIR, and machine vision in the quality monitoring of pineapples. Metlenkin et al (Metlenkin et al, 2022) distinguished Hass avocado fruits by defects using hyperspectral imaging (HSI).…”

Section: Introductionmentioning

confidence: 99%

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Advancement of non-destructive spectral measurements for the quality of major tropical fruits and vegetables: a review

Aline,

Bhattacharya,

Faqeerzada

et al. 2023

Front. Plant Sci.

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The quality of tropical fruits and vegetables and the expanding global interest in eating healthy foods have resulted in the continual development of reliable, quick, and cost-effective quality assurance methods. The present review discusses the advancement of non-destructive spectral measurements for evaluating the quality of major tropical fruits and vegetables. Fourier transform infrared (FTIR), Near-infrared (NIR), Raman spectroscopy, and hyperspectral imaging (HSI) were used to monitor the external and internal parameters of papaya, pineapple, avocado, mango, and banana. The ability of HSI to detect both spectral and spatial dimensions proved its efficiency in measuring external qualities such as grading 516 bananas, and defects in 10 mangoes and 10 avocados with 98.45%, 97.95%, and 99.9%, respectively. All of the techniques effectively assessed internal characteristics such as total soluble solids (TSS), soluble solid content (SSC), and moisture content (MC), with the exception of NIR, which was found to have limited penetration depth for fruits and vegetables with thick rinds or skins, including avocado, pineapple, and banana. The appropriate selection of NIR optical geometry and wavelength range can help to improve the prediction accuracy of these crops. The advancement of spectral measurements combined with machine learning and deep learning technologies have increased the efficiency of estimating the six maturity stages of papaya fruit, from the unripe to the overripe stages, with F1 scores of up to 0.90 by feature concatenation of data developed by HSI and visible light. The presented findings in the technological advancements of non-destructive spectral measurements offer promising quality assurance for tropical fruits and vegetables.

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“…Nondestructive testing techniques for the quality of agricultural products have also become more and more widespread in recent years ( Tian et al., 2023 ). With the development of optical technology, some efficient and mature optical nondestructive detection techniques have emerged ( Mei and Li, 2023 ; Mohd Ali et al., 2023 ), such as visible and near-infrared (Vis-NIR) spectroscopy ( Guo et al., 2023 ) and hyperspectral imaging (HSI) ( Chen et al., 2021 ; Tian et al., 2021 ; Zhang et al., 2022 ; Zhao et al., 2023 ), which have been widely used in nondestructive quantities for physical and chemical characterization of agricultural products. These optical inspection techniques can be mainly used to measure the spectral information of agricultural products to obtain the diffuse reflectance (or transmittance) of the samples and then combine this spectral information with existing chemometrics algorithms to establish a prediction model for the quality of agricultural products.…”

Section: Introductionmentioning

confidence: 99%

Principles, developments, and applications of spatially resolved spectroscopy in agriculture: a review

Xia,

Liu,

Meng

et al. 2024

Front. Plant Sci.

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Agriculture is the primary source of human survival, which provides the most basic living and survival conditions for human beings. As living standards continue to improve, people are also paying more attention to the quality and safety of agricultural products. Therefore, the detection of agricultural product quality is very necessary. In the past decades, the spectroscopy technique has been widely used because of its excellent results in agricultural quality detection. However, traditional spectral inspection methods cannot accurately describe the internal information of agricultural products. With the continuous research and development of optical properties, it has been found that the internal quality of an object can be better reflected by separating the properties of light, such as its absorption and scattering properties. In recent years, spatially resolved spectroscopy has been increasingly used in the field of agricultural product inspection due to its simple compositional structure, low-value cost, ease of operation, efficient detection speed, and outstanding ability to obtain information about agricultural products at different depths. It can also separate optical properties based on the transmission equation of optics, which allows for more accurate detection of the internal quality of agricultural products. This review focuses on the principles of spatially resolved spectroscopy, detection equipment, analytical methods, and specific applications in agricultural quality detection. Additionally, the optical properties methods and direct analysis methods of spatially resolved spectroscopy analysis methods are also reported in this paper.

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Innovative non-destructive technologies for quality monitoring of pineapples: Recent advances and applications

Cited by 19 publications

References 70 publications

Intelligent System/Equipment for Quality Deterioration Detection of Fresh Food: Recent Advances and Application

Intelligent System/Equipment for Quality Deterioration Detection of Fresh Food: Recent Advances and Application

Advancement of non-destructive spectral measurements for the quality of major tropical fruits and vegetables: a review

Principles, developments, and applications of spatially resolved spectroscopy in agriculture: a review

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