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A New Approach to COVID-19 Detection: An ANN Proposal Optimized through Tree-Seed Algorithm.
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- Symmetry (20738994), 2022, v. 14, n. 7, p. N.PAG, doi. 10.3390/sym14071310
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- Article
Non-destructive discrimination of vacuum-dried banana using image processing operation and machine learning approach.
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- Food & Bioproducts Processing: Transactions of the Institution of Chemical Engineers Part C, 2023, v. 141, p. 36, doi. 10.1016/j.fbp.2023.07.001
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- Article
Effects of freezing and hot air drying on the physical, morphological and thermal properties of cranberries (Vaccinium macrocarpon).
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- Food & Bioproducts Processing: Transactions of the Institution of Chemical Engineers Part C, 2018, v. 110, p. 40, doi. 10.1016/j.fbp.2018.04.006
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- Article
A Novel Approach to the Authentication of Apricot Seed Cultivars Using Innovative Models Based on Image Texture Parameters.
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- Horticulturae, 2022, v. 8, n. 5, p. 431, doi. 10.3390/horticulturae8050431
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- Article
Thermal conductivity measurement of biological materials: a case study in moderate ambient temperatures.
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- Asia-Pacific Journal of Chemical Engineering, 2017, v. 12, n. 3, p. 432, doi. 10.1002/apj.2086
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- Article
A COMPARATIVE STUDY OF DISTINGUISHING APPLE CULTIVARS AND A CLONE BASED ON FEATURES OF SELECTED FRUIT PARTS AND LEAVES USING IMAGE PROCESSING AND ARTIFICIAL INTELLIGENCE.
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- Acta Scientiarum Polonorum. Hortorum Cultus, 2024, v. 23, n. 2, p. 79, doi. 10.24326/asphc.2024.5335
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- Article
Application of image analysis and machine learning for the assessment of grape (Vitis L.) berry behavior under different storage conditions.
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- European Food Research & Technology, 2024, v. 250, n. 3, p. 935, doi. 10.1007/s00217-023-04441-4
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- Article
Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms.
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- European Food Research & Technology, 2024, v. 250, n. 2, p. 409, doi. 10.1007/s00217-023-04392-w
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- Article
The application of fluorescence spectroscopy and machine learning as non-destructive approach to distinguish two different varieties of greenhouse tomatoes.
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- European Food Research & Technology, 2023, v. 249, n. 12, p. 3239, doi. 10.1007/s00217-023-04363-1
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- Article
The classification of leek seeds based on fluorescence spectroscopic data using machine learning.
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- European Food Research & Technology, 2023, v. 249, n. 12, p. 3217, doi. 10.1007/s00217-023-04361-3
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- Article
Benchmarking analysis of CNN models for pits of sour cherry cultivars.
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- European Food Research & Technology, 2022, v. 248, n. 10, p. 2441, doi. 10.1007/s00217-022-04059-y
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- Article
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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- European Food Research & Technology, 2022, v. 248, n. 9, p. 2421, doi. 10.1007/s00217-022-04057-0
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- Article
CNN–SVM hybrid model for varietal classification of wheat based on bulk samples.
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- European Food Research & Technology, 2022, v. 248, n. 8, p. 2043, doi. 10.1007/s00217-022-04029-4
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- Article
Authentication of tomato (Solanum lycopersicum L.) cultivars using discriminative models based on texture parameters of flesh and skin images.
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- European Food Research & Technology, 2022, v. 248, n. 8, p. 1959, doi. 10.1007/s00217-022-04019-6
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- Article
Preservation effects evaluated using innovative models developed by machine learning on cucumber flesh.
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- European Food Research & Technology, 2022, v. 248, n. 7, p. 1929, doi. 10.1007/s00217-022-04016-9
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- Article
A comparative evaluation of Bayes, functions, trees, meta, rules and lazy machine learning algorithms for the discrimination of different breeding lines and varieties of potato based on spectroscopic data.
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- European Food Research & Technology, 2022, v. 248, n. 7, p. 1765, doi. 10.1007/s00217-022-04003-0
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- Article
Flesh of pumpkin from ecological farming as part of fruit suitable for non-destructive cultivar classification using computer vision.
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- European Food Research & Technology, 2022, v. 248, n. 3, p. 893, doi. 10.1007/s00217-021-03935-3
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- Article
Discrimination of tomato seeds belonging to different cultivars using machine learning.
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- European Food Research & Technology, 2022, v. 248, n. 3, p. 685, doi. 10.1007/s00217-021-03920-w
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- Article
Effect of lacto-fermentation and freeze-drying on the quality of beetroot evaluated using machine vision and sensory analysis.
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- European Food Research & Technology, 2022, v. 248, n. 1, p. 153, doi. 10.1007/s00217-021-03869-w
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- Article
The effect of drought stress of sorghum grains on the textural features evaluated using machine learning.
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- European Food Research & Technology, 2021, v. 247, n. 11, p. 2787, doi. 10.1007/s00217-021-03832-9
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- Article
Differentiation of peach cultivars by image analysis based on the skin, flesh, stone and seed textures.
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- European Food Research & Technology, 2021, v. 247, n. 9, p. 2371, doi. 10.1007/s00217-021-03797-9
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- Article
The application of image processing for cultivar discrimination of apples based on texture features of the skin, longitudinal section and cross-section.
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- European Food Research & Technology, 2021, v. 247, n. 5, p. 1319, doi. 10.1007/s00217-021-03711-3
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- Article
Effect of boiling on classification performance of potatoes determined by computer vision.
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- European Food Research & Technology, 2021, v. 247, n. 4, p. 807, doi. 10.1007/s00217-020-03664-z
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- Article
Correlations between the textural features and chemical properties of sorghum grain using the image processing method.
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- European Food Research & Technology, 2021, v. 247, n. 2, p. 333, doi. 10.1007/s00217-020-03625-6
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- Article
Correlations between the textural features of wheat kernels and the quantity of DNA of Fusarium fungi.
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- European Food Research & Technology, 2019, v. 245, n. 6, p. 1161, doi. 10.1007/s00217-019-03240-0
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- Article
Classification of Fusarium-infected and healthy wheat kernels based on features from hyperspectral images and flatbed scanner images: a comparative analysis.
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- European Food Research & Technology, 2018, v. 244, n. 8, p. 1453, doi. 10.1007/s00217-018-3059-7
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- Article
Discrimination based on changes in the physical properties of fenugreek ( Trigonella foenum- graecum L.) seeds subjected to various cultivation conditions.
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- European Food Research & Technology, 2016, v. 242, n. 3, p. 405, doi. 10.1007/s00217-015-2551-6
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- Article
The physical and chemical properties of camelina (Camelina sativa (L.) Crantz) seeds subjected to sulfur fertilization.
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- Oilseeds & Fats, Crops & Lipids (OCL), 2020, v. 27, n. 1, p. 1, doi. 10.1051/ocl/2020038
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- Article
Effect of sulfur fertilization on the physical and chemical properties of crambe (Crambe abyssinica Hochst ex R.E. Fries) seeds.
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- Oilseeds & Fats, Crops & Lipids (OCL), 2020, v. 27, n. 1, p. 1, doi. 10.1051/ocl/2020008
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- Article
Coexistence of Placobdella costata (Fr. Müller, 1846) (Hirudinida: Glossiphoniidae) and mud turtle Emys orbicularis.
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- Biologia, 2012, v. 67, n. 4, p. 731, doi. 10.2478/s11756-012-0069-y
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- Article
Batracobdelloides moogi Nesemann et Csányi, 1995 (Hirudinida: Glossiphoniidae): Morphometry and structure of the alimentary tract and reproductive system.
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- Biologia, 2011, v. 66, n. 5, p. 848, doi. 10.2478/s11756-011-0100-8
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- Article
A convolutional neural network‐based comparative study for pepper seed classification: Analysis of selected deep features with support vector machine.
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- Journal of Food Process Engineering, 2022, v. 45, n. 6, p. 1, doi. 10.1111/jfpe.13955
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- Article
Cultivar identification of sweet cherries based on texture parameters determined using image analysis.
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- Journal of Food Process Engineering, 2021, v. 44, n. 7, p. 1, doi. 10.1111/jfpe.13724
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- Article
A comparative analysis of the discrimination of pepper (Capsicum annuum L.) based on the cross‐section and seed textures determined using image processing.
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- Journal of Food Process Engineering, 2021, v. 44, n. 6, p. 1, doi. 10.1111/jfpe.13694
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- Article
Identification of sorghum genotypes using a machine vision system.
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- Journal of Food Process Engineering, 2021, v. 44, n. 5, p. 1, doi. 10.1111/jfpe.13673
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- Article
Thermophysical properties of camelina (Camelina sativa (L.) Crantz) seeds fertilized with nitrogen.
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- Journal of Food Process Engineering, 2019, v. 42, n. 6, p. N.PAG, doi. 10.1111/jfpe.13161
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- Article
Classification of the seeds of traditional and double‐low cultivars of white mustard based on texture features.
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- Journal of Food Process Engineering, 2019, v. 42, n. 5, p. N.PAG, doi. 10.1111/jfpe.13077
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- Article
Thermal properties of fresh and dried cranberry (Vaccinium macrocarpon) fruits determined by differential scanning calorimetry and thermogravimetric analysis.
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- Journal of Food Process Engineering, 2019, v. 42, n. 4, p. N.PAG, doi. 10.1111/jfpe.13061
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- Article
Prediction of tannin, protein, and total phenolic content of grain sorghum using image analysis and machine learning.
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- Cereal Chemistry, 2022, v. 99, n. 4, p. 843, doi. 10.1002/cche.10542
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- Article
Physicochemical Properties, Image Textures, and Relationships between Parameters of Red-Fleshed Apples Collected on Different Harvest Dates.
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- Agronomy, 2023, v. 13, n. 10, p. 2452, doi. 10.3390/agronomy13102452
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- Article
Distinguishing Cyst Nematode Species Using Image Textures and Artificial Neural Networks.
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- Agronomy, 2023, v. 13, n. 9, p. 2277, doi. 10.3390/agronomy13092277
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- Article
Yield and Quality of Romaine Lettuce at Different Daily Light Integral in an Indoor Controlled Environment.
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- Agronomy, 2022, v. 12, n. 5, p. 1026, doi. 10.3390/agronomy12051026
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- Article
Diversity of Plum Stones Based on Image Texture Parameters and Machine Learning Algorithms.
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- Agronomy, 2022, v. 12, n. 4, p. N.PAG, doi. 10.3390/agronomy12040762
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- Article
Evaluation of wheat kernels infected by fungi of the genus Fusarium based on morphological features.
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- Journal of Food Safety, 2019, v. 39, n. 3, p. N.PAG, doi. 10.1111/jfs.12623
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- Article
The Use of Digital Color Imaging and Machine Learning for the Evaluation of the Effects of Shade Drying and Open-Air Sun Drying on Mint Leaf Quality.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 1, p. 206, doi. 10.3390/app13010206
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- Article
A Comprehensive Survey of the Recent Studies with UAV for Precision Agriculture in Open Fields and Greenhouses.
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- Applied Sciences (2076-3417), 2022, v. 12, n. 3, p. 1047, doi. 10.3390/app12031047
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- Article
Species Composition and Trichothecene Genotype Profiling of Fusarium Field Isolates Recovered from Wheat in Poland.
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- Toxins, 2018, v. 10, n. 8, p. 325, doi. 10.3390/toxins10080325
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- Article
Impact of cultivation methods on properties of black cumin (Nigella sativa L.) seeds.
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- Journal of Central European Agriculture, 2019, v. 20, n. 1, p. 353, doi. 10.5513/JCEA01/20.1.2262
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- Article
The effect of lacto‐fermentation over time on the changes in zucchini flesh quality assessed using machine learning models based on image textures.
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- Journal of Food Process Engineering, 2023, v. 46, n. 12, p. 1, doi. 10.1111/jfpe.14496
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- Article
The Quality Assessment of Sour Cherries Dried Using an Innovative Simultaneous Osmotic–Microwave–Vacuum Approach Based on Image Textures, Color Parameters, and Sensory Attributes.
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- Agriculture; Basel, 2024, v. 14, n. 1, p. 54, doi. 10.3390/agriculture14010054
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- Article