Preservation effects evaluated using innovative models developed by machine learning on cucumber flesh

Ropelewska, Ewa; Sabancı, Kadir; Aslan, Muhammet Fatih

doi:10.1007/s00217-022-04016-9

Cited by 6 publications

(2 citation statements)

References 38 publications

(38 reference statements)

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“…IBk utilizes a distance measure to locate k "close" instances in the training data for every test instance and employs those selected instances to create a prediction. IBK has two main advantages: it is fast and can give higher accuracy than other algorithms [10]. The J48 algorithm is one of the best machine learning algorithms for categorically and continuously examining data.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive Analysis of Machine Learning Algorithms on Medical Datasets for Disease Prediction

Elsayed,

Ismail,

Abdel-Gawad

et al. 2024

Information Sci. Appl.

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This paper aims to analyze and evaluate the performance of different classification algorithms on medical datasets and gives some tips and guidelines for choosing the right algorithm for the dataset. For this purpose, twelve medical datasets were selected from the UCI repository, including breast cancer data, chronic kidney disease, cryotherapy, hepatitis, immunotherapy, Indian Liver Patient Dataset (ILPD), liver disorders, pima diabetes, risk factors cervical cancer, statlog (heart) dataset, dermatology and lung cancer. The selected classifiers for performance evaluation are Bagging, IBK, J48, JRip, Multilayer Perceptron (MP), Naïve Bayes (NB), Support Vector Machine (SVM), ZeroR and Voting Frequency Intervals (VFI). The algorithms were implemented on datasets using the WEKA tool and 10-fold cross-validation. Experimental results and analysis for all measures were introduced to guideline researchers who seek to achieve and how to balance different measures. Additionally, challenges and future directions were presented at the end of this paper.

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Section: Literature Reviewmentioning

confidence: 99%

Adaptive Analysis of Machine Learning Algorithms on Medical Datasets for Disease Prediction

Elsayed,

Ismail,

Abdel-Gawad

et al. 2024

Information Sci. Appl.

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“…It is traditionally employed in various therapies and shows several medical features, including antibacterial activity, glycemic lowering ability, antioxidant capacity, and so on (Rolnik & Olas, 2020). Due to its flavor and texture, it is crucial as a fresh ingredient in salads as well as in processed foods like pickles and relishes (Ropelewska et al, 2022). However, the presence of residues of pesticides on the cucumber surface is creating a great threat to human health.…”

Section: Introductionmentioning

confidence: 99%

Effect of aqueous ozone treatment on the reduction of chlorpyrifos and physicochemical and microbial qualities of cucumber (Cucumis sativusL.): Process modeling and optimization

Navya,

Sudheer,

Abdullah

et al. 2024

J Food Process Engineering

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A study was conducted at different combinations of ozone concentration (50%–100%) and time (10–30 min) to study the effect of aqueous ozone treatment on chlorpyrifos degradation in cucumber. A process was developed and compared using ANN‐GA and RSM techniques. The optimum conditions obtained using RSM were ozone concentration of 95% and treatment time of 10 min. While the optimum conditions achieved by ANN‐GA were ozone concentration of 81% and treatment time of 14 min. However, chlorpyrifos degradation is more at the condition optimized by ANN compared to the condition optimized by RSM. At the optimum condition, the cucumber showed superior physicochemical and microbial qualities, including pesticide degradation (91.08%), color change (3.58), firmness (11.75 N), moisture content (97.49%), water activity (0.93), pH (6.18), titratable acidity (0.06%), total soluble solids (2.1 °Brix), total plate count (1.5 × 105 CFU/g), and yeast/mold count (3 × 105 CFU/g), respectively.Practical applicationsIncreased awareness of the health benefits associated with the consumption of fruits and vegetables has led to a rise in their consumption. These items are primarily consumed in their raw or fresh state and often feature in salads. However, the presence of pesticide residues on the surface of raw fruits and vegetables can pose significant health risks to consumers. Ozone treatment can be used for effectively removing pesticide residue in the fresh‐cut fruits and vegetables industry. Also, ozone treatment can reduce the microbial count on the surface of fruits and vegetables which enhances the shelf life of fruits and vegetables. Furthermore, it can prevent the natural ripening process of commodities, thereby increasing the consumer's acceptance. Ozone is considered a safe and eco‐friendly alternative to chemical disinfectants and preservatives. It leaves no chemical residue on the produce and breaks down into oxygen, leaving no harmful byproducts, thereby ensuring safe consumption of the commodity.

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Distinguishing lacto-fermented and fresh carrot slice images using the Multilayer Perceptron neural network and other machine learning algorithms from the groups of Functions, Meta, Trees, Lazy, Bayes and Rules

Ropelewska

2022

Eur Food Res Technol

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Preservation effects evaluated using innovative models developed by machine learning on cucumber flesh

Cited by 6 publications

References 38 publications

Adaptive Analysis of Machine Learning Algorithms on Medical Datasets for Disease Prediction

Adaptive Analysis of Machine Learning Algorithms on Medical Datasets for Disease Prediction

Effect of aqueous ozone treatment on the reduction of chlorpyrifos and physicochemical and microbial qualities of cucumber (Cucumis sativusL.): Process modeling and optimization

Distinguishing lacto-fermented and fresh carrot slice images using the Multilayer Perceptron neural network and other machine learning algorithms from the groups of Functions, Meta, Trees, Lazy, Bayes and Rules

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