Shape and texture based classification of citrus using principal component analysis

Akhtar, Naeem; Idrees, Muhammad; Rehman, Furqan ur; Ilyas, Muhammad; Abbas, Qaiser; Luqman, Muhammad

doi:10.33687/ijae.009.02.2525

Cited by 3 publications

(3 citation statements)

References 18 publications

(19 reference statements)

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“…First, the data will be mean-centered and Pareto-scaled by dividing each variable by its standard deviation’s square root. The spectral data will be analyzed using principal component analysis (PCA) and partial least-squares discriminant analysis (PLS-DA) [ 36 , 37 , 38 , 39 ]. To determine the validity of the PLS-DA model, a permutation test (100 cycles) and an ANOVA of cross-validated residuals (CVANOVA) will be performed.…”

Section: Methodsmentioning

confidence: 99%

Molecular, Metabolic, and Nutritional Changes after Metabolic Surgery in Obese Diabetic Patients (MoMen): A Protocol for a Multicenter Prospective Cohort Study

et al. 2023

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Metabolic surgery is an essential option in the treatment of obese patients with type 2 diabetes (T2D). Despite its known advantages, this surgery still needs to be introduced in Malaysia. In this prospective study, the pathophysiological mechanisms at the molecular level will be studied and the metabolomics pathways of diabetes remission will be explored. The present study aims to evaluate the changes in the anthropometric measurements, body composition, phase angle, diet intake, biochemistry parameters, adipokines, microRNA, and metabolomics, both pre- and post-surgery, among obese diabetic patients in Malaysia. This is a multicenter prospective cohort study that will involve obese patients (n = 102) with a body mass index (BMI) of ≥25 kg/m2 (Asian BMI categories: WHO/IASO/IOTF, 2000) who will undergo metabolic surgery. They will be categorized into three groups: non-diabetes, prediabetes, and diabetes. Their body composition will be measured using a bioimpedance analyzer (BIA). The phase angle (PhA) data will be analyzed. Venous blood will be collected from each patient for glycated hemoglobin (HbA1c), lipids, liver, renal profile, hormones, adipokines, and molecular and metabolomics analyses. The serum microRNA will be measured. A gene expression study of the adipose tissue of different groups will be conducted to compare the groups. The relationship between the 1HNMR-metabolic fingerprint and the patients’ lifestyles and dietary practices will be determined. The factors responsible for the excellent remission of T2D will be explored in this study.

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Section: Methodsmentioning

confidence: 99%

Molecular, Metabolic, and Nutritional Changes after Metabolic Surgery in Obese Diabetic Patients (MoMen): A Protocol for a Multicenter Prospective Cohort Study

et al. 2023

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“…Furthermore, Hadimani and Garg introduced a method for categorizing various flaws in Kinnow fruits, employing multiple criteria for classification [6]. Akhter et al proposed a classification methodology for categorizing citrus fruits, including Kinnow, by utilizing color and shape data, and incorporating principal component analysis for feature extraction [7]. Additionally, Singh and Malik contributed to the field by suggesting an approach using feature selection for enhancing the classification of Kinnow fruits, employing the hybrid filter method [8].…”

Section: Introductionmentioning

confidence: 99%

Improving Kinnow Fruit Classification with Feature Weighting using Modified Levy Flight Distribution-Inspired Sunflower Optimization Technique

Singh,

Malik

2023

ijmst

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In this paper, Feature weighting is used to create an intelligent and effective classification method for Kinnow fruits. Feature weighting approach is used because it improves classification performance more than feature selection methods. The modified sunflower optimization algorithm (SFO) is proposed to search the optimal feature weights and parametric values of k-Nearest Neighbour (kNN).The levy flight distribution operator has been utilised to enhance the convergence speed of the sunflower optimization algorithm by improving the local and global search ability of the optimization algorithm. Also, the algorithmic parameter of the SFO algorithm has been adaptively selected using the linear time varying adaption method. In addition, tanh normalization technique is used for the data pre-processing to reduce the influence of outliers and dominating features before the feature weighting method. The findings suggest that the proposed wrapper based approach feature weighting technique is more capable of achieving higher accuracy than the existing strategies.

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“…The genera Citrus are trees that bear flowers and belong to the Rutaceae family (Favela-Hernández et al, 2016). Other approaches to its classification are provided by Akhtar et al (2021) and Singh et al (2021). Citrus is a native of South East Asia (Wu et al, 2018) and now grown globally in the tropics and sub-tropics because of its immense economic, nutritional, phytochemical, pharmacological, antimicrobial, antiparasitic significance (Othman and Fadzil, 2021;Akarca et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Repellence of Aedes aegypti with oils from Citrus sinensis and Citrus paradisi fruit peelsi from Nsukka

Ugwu,

Chime

2023

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Aedes aegypti spread yellow fever, dengue fever, Zika virus and Chikungunya that can be prevented through vector control. Chemical insecticides are resisted by vectors, harm humans and the ecosystem thereby making their use opprobrious. Plants essential oils are safer alternatives. Oils of Citrus sinensis and Citrus paradisi fruit peels are readily available in Nsukka but their effect on Aedes aegypti remain uncertain so it became imperative to verify the effect of these oil extracts on them. The cold maceration method was used to extract essential oils from their peels. They were used singly and in various formulations to evaluate the behaviour of starved Ae. aegypti adults. WHO protocols were applied in obtaining the effective doses and complete protection time. Data collected were analysed using SPSS version 23.0. Various formulations repelled mosquitoes in the magnitude of 100 % > 75 % > 50% > 25% and significant differences (p < 0.05) noted between formulations. Formulations B and H showed highest repellence effects with 0 – 3 number of mosquito landings during the three minutes of test period. Probit analysis showed that 1.14 ml of formulation G was required to achieve 99% repellence. Formulation B demonstrated synergism of the oils attaining the highest complete protection time of 150 minutes. This study showed that oil extracts of C. sinensis and C. paradisi would prevent female Aedes aegypti adults from landing on or feeding from skins smeared with each of the oil or their combinations. The oils exhibited synergism when combined hence could be used to control this mosquito.

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Shape and texture based classification of citrus using principal component analysis

Cited by 3 publications

References 18 publications

Molecular, Metabolic, and Nutritional Changes after Metabolic Surgery in Obese Diabetic Patients (MoMen): A Protocol for a Multicenter Prospective Cohort Study

Molecular, Metabolic, and Nutritional Changes after Metabolic Surgery in Obese Diabetic Patients (MoMen): A Protocol for a Multicenter Prospective Cohort Study

Improving Kinnow Fruit Classification with Feature Weighting using Modified Levy Flight Distribution-Inspired Sunflower Optimization Technique

Repellence of Aedes aegypti with oils from Citrus sinensis and Citrus paradisi fruit peelsi from Nsukka

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