Ewa Ropelewska

The aim of this study was to evaluate the usefulness of the texture and geometric parameters of endocarp (pit) for distinguishing different cultivars of sweet cherries using image analysis. The textures from images converted to color channels and the geometric parameters of the endocarp (pits) of sweet cherry ‘Kordia’, ‘Lapins’, and ‘Büttner’s Red’...

The study was aimed at the evaluation of the usefulness of textures of the outer surface from the images of apple skin and flesh for discrimination of different cultivars. The texture parameters were calculated from color channels: R, G, B, L, a, b, U, V, H, S, I, X, Y, Z. In the case of cultivar discrimination performed for the apple skin, the hig...

This study aimed to determine the discriminatory power of textural features to differentiate the sorghum grains subjected to normal, mild deficit, and severe deficit irrigation. The studies were carried out with the use of image processing, discrimination analysis, analysis of variance and cluster analysis using the selected texture parameters calc...

The aim of this study was to develop models based on linear dimensions or shape factors, and the sets of combined linear dimensions and shape factors for discrimination of sour cherry pits of different cultivars (‘Debreceni botermo’, ‘Łutówka’, ‘Nefris’, ‘Kelleris’). The geometric parameters were calculated using image processing. The pits of diffe...

The objective of this study was to reveal the usefulness of image processing and machine learning for the non-destructive evaluation of the changes in mint leaves caused by two natural drying techniques. The effects of shade drying and open-air sun drying on the ventral side (upper surface) and dorsal side (lower surface) of leaves were compared. T...

This study aimed at determining the relationships between the selected quality properties of four new apple clones: ‘Free Redstar’ × ‘Melfree’, ‘Free Redstar’ × ‘Ariwa’, ‘Free Redstar’ × ‘Rajka’, and ‘Free Redstar’ × ‘Rubinola’. Significant differences between the selected clones in terms of quality properties were revealed. For example, the ‘Free...

Strawberry (Fragaria × ananassa Duch.) is a her-baceous plant cultivated and consumed worldwide [Sun et al. 2023, Şener et al. 2023]. Strawberries are planted due to their red, aromatic, and sweet fruit [Pa-tel et al. 2023]. The red color and unique flavor resulting from the combination of taste, aroma, and mouth-feel sensations especially attract...

The genotypes of red-fleshed apples can vary in the intensity of red color and other fruit quality parameters. Crossing red-fleshed apple genotypes may lead to the development of new genotypes with increased health properties desired by apple processors. For fruit samples belonging to 5 genotypes, such as the cultivar ‘Trinity’ and four clones (90,...

Date palm ( Phoenix dactylifera L.) is one of the most valuable domesticated fruit trees characterized with thousands of varieties that grow in different arid regions. Because of high diversification, discrimination between date varieties at different post-harvest handling and production stages is necessary. In this study, five different CNN (Convo...

The objective of this study was to analyse the image textures and chemical characteristics of red sweet bell pepper samples during the lacto-fermentation process to determine the correlation between these parameters. The raw material of red bell pepper was subjected to spontaneous lacto-fermentation. The imaging by a digital camera and analyses of...

This study investigated the effect of convective (COND) and infrared drying (INRD) on key physicochemical parameters and image texture features of ‘Mejhoul’ and ‘Boufeggous’ date palm cultivars. Overall, results showed dissimilar effects of drying on the assessed quality attributes for each cultivar. COND increased significantly total polyphenols a...

The total quality of agricultural products is dependent on several factors, starting from technical operations at the orchard to post-harvest handling at the scale of processing and storage facilities. For the "post-harvest dimension", personalized treatments should be applied to fruit and vegetables based on their initial quality and the needs of...

The emergence of new technologies focusing on “image analysis” contributes significantly to the assessment of fruit quality based on objective and non-destructive features. In this investigation, the ‘Mejhoul’ date fruit cultivar was subjected to freezing at -10°C and -18°C and stored for 6 months. Its quality was evaluated according to texture fea...

The emergence of new technologies focusing on “computer vision” has contributed significantly to the assessment of fruit quality. In this study, an innovative approach based on image analysis was used to assess the external quality of fresh and frozen ‘Mejhoul’ and ‘Boufeggous’ date palm cultivars stored for 6 months at −10 °C and −18 °C. Their qua...

The target of breeding red-fleshed apples is to increase their potential health benefits related to red flesh coloration and consumer acceptance. The objective of this study was to determine the usefulness of four clones (90, 120, 156, and 158) of red-fleshed apples for freeze-drying compared to the cultivar ‘Trinity’. Red-fleshed apples were dried...

The objective of this study was to classify blueberry cultivars based on image texture parameters using models built using traditional machine learning and deep learning algorithms. The blueberries belonging to highbush cultivars (‘Bluecrop’, ‘Herbert’, ‘Jersey’, and ‘Nelson’) and lowbush cultivars (‘Emil’ and ‘Putte’) were subjected to imaging usi...

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Fermented food is characterized by positive health-promoting properties. The objective of this study was to distinguish and assess the changes in the flesh structure of sweet bell pepper samples after specific periods of fermentation in a non-destructive manner. Two cultivars of pepper, red and yellow, were subjected to lacto-fermentation. The expe...

Among thousands of date fruit cultivars around the world, ‘Mejhoul’ and ‘Boufeggous’ are known by their high nutritional quality but also with low storability index. In this investigation, both date cultivars were subjected to two freezing temperatures: -10 and -18°C and stored under these conditions for 4 months: M-FRZ10: “Mejhoul” cultivar stored...

In this study, the main changes in skin color of ‘Mejhoul’ and ‘Boufeggous’ date palm cultivars were investigated based on lightness (L*), redness (a*), yellowness (b*), chroma (C), and browning index (BI). Date fruit samples were subjected to convective (CD) and infrared (IRD) drying before storage and then were stored in cold containers at +4°C/5...

The objective of this study was to link physicochemical properties and image features of fresh and dried date fruit belonging to two cultivars under cold storage for several months. Date fruit samples were convective and infrared dried at 60°C using a CONVECO semi-industrial dryer and subjected to two cold storage conditions: +4°C/relative humidity...

Soil texture is one of the most important elements to consider before planting and tillage. These features affect the product selection and regulate its water permeability. Discrimination of soils by determining soil texture features requires an intense workload and is time-consuming. Therefore, having a powerful tool and knowledge for texture-base...

Image analysis and artificial intelligence may be applied as emerging tools to assess date fruit quality before and after drying and may be alternatives to tedious, time-consuming, subjective, and destructive analyzes. The objective of this study was to transform color images into numerical data to compare and determine the differences between date...

This investigation aimed to assess the effect of convective drying (CD) on key quality parameters of ‘Mejhoul’ and ‘Boufeggous’ considered as important commercial cultivars in Morocco and producing countries of date fruit (Phoenix dactylifera L). Thus, both cultivars were subjected to CD at 60°C with two technological repetitions using industrial d...

Yield prediction is essential for production planning, resource management, and competitive advantages. The use of vegetation indices and machine learning for yield prediction is rapid, practical, and accurate and contributes to the development of digital agriculture. Although many studies have been carried out on yield estimation, the number of st...

Date palm (Phoenix dactylifera L.) fruit samples belonging to the ‘Mejhoul’ and ‘Boufeggous’ cultivars were harvested at the Tamar stage and used in our experiments. Before scanning, date samples were dried using convective drying at 60 °C and infrared drying at 60 °C with a frequency of 50 Hz, and then they were scanned. The scanning trials were p...

This study aimed to identify the most useful white-fleshed apple samples to distinguish apple cultivars and a clone. Whole apples, apple slices, seeds, and leaves belonging to ‘Free Redstar’, clone 118, ‘Ligolina’, ‘Pink Braeburn’, and ‘Pinokio’ were imaged using a digital camera. The texture parameters were extracted from images in color channels...

Date fruit (Phoenix dactylifera L.) is known for its diversity in terms of genotypes that differ in shape, color, texture, taste, and other physical and sensory attributes, in addition to biochemical compounds. This richness generates complex, long, and tedious work at the scale of farm as well as in handling, processing, and storage facilities to...

Fresh grapes are characterized by a short shelf life and are often subjected to quality losses during post-harvest storage. The quality assessment of grapes using image analysis may be a useful approach using non-destructive methods. This study aimed to compare the effect of different storage methods on the grape image texture parameters of the fru...

Sour cherries are a perishable raw material, and their preservation is needed to extend their availability to consumers. Improving drying techniques is desirable to ensure the highest quality of products. This study aimed to determine image textures from color channels R, G, B, L, a, b, X, Y, and Z; color parameters L*, a*, and b*; the color differ...

Lacto‐fermented foods may have health benefits. Therefore, the consumption of lacto‐fermented fruit and vegetables is important. The objective of this study was to assess the effect of lacto‐fermentation on zucchini flesh after 1 week and 3 months. The zucchini slices were classified using models built based on image textures using different machin...

Mass, size, and shape attributes are important for the design of planters, breeding studies, and quality assessment. In recent years, machinery design and system development studies have taken these factors into consideration. The aim of this study is to explore classification models for four pumpkin seed varieties according to their physical chara...

Biotic stress imposed by pathogens, including fungal, bacterial, and viral, can cause heavy damage leading to yield reduction in maize. Therefore, the identification of resistant genes paves the way to the development of disease-resistant cultivars and is essential for reliable production in maize. Identifying different gene expression patterns can...

The determination of the optimal harvest date is very important to obtain the desired apple quality. This study was aimed at evaluating the impact of the harvest date on selected properties of the following red-fleshed apples: ‘Alex Red’, ‘Trinity’, and ‘Roxana’. The color parameters of skin and flesh were measured using a portable spectrophotomete...

The objective of this study was to distinguish leek seeds belonging to the Starozagorski kamush variety and two breeding lines based on the selected fluorescence spectroscopic data. The classification models were developed for three classes of Starozagorski kamush vs. breeding line 4 vs. breeding line 39 and pairs of classes of Starozagorski kamush...

The application of interdisciplinary non-invasive diagnostic methods combining fluorescence spectroscopy with multiple machine learning algorithms as tools for rapid application in tomato breeding programs is essential when crossing specific genotypes or parental samples to obtain representatives with better performance. Non-destructive distinguish...

Cyst nematodes are plant parasitic nematodes infecting crops, causing extensive crop damage and annual losses, and affecting food production. The precise species identification is significant to initiate their control. The repeatable, less expensive, and less laborious distinguishing cyst nematode species using image processing and artificial intel...

Different cultivars of seeds may have different properties. Therefore, distinguishing cultivars may be important for seed processing and product quality. This study was aimed at revealing the usefulness of innovative models developed based on selected image textures built using traditional machine algorithms for cultivar classification of quince se...

Apricot stones have high commercial value and can be used for manufacturing functional foods, cosmetic products, active carbon, and biodiesel. The optimal processing of the stones is dependent on the cultivar and there is a need for methods to sort among different cultivars (which are often mixed in processing facilities). This study investigates t...

The cultivar and fertilization can affect the physicochemical properties of pepper fruit. This study aimed at estimating the content of α-carotene, β-carotene, total carotenoids, and the total sugars of unfertilized pepper and samples treated with natural fertilizers based on texture parameters determined using image analysis. Pearson’s correlation...

The objective of this study was to evaluate the differences in texture parameters between freeze-dried and fresh carrot slices using image processing and artificial intelligence. Images of fresh and freeze-dried carrot slices were acquired using a digital camera. Texture parameters were extracted from slice images converted to individual color chan...

Dried red-fleshed apples are considered a promising high-quality product from the functional foods category. The objective of this study was to compare the flesh features of freeze-dried red-fleshed apples belonging to the ‘Alex Red’, ‘Trinity’, ‘314’, and ‘602’ genotypes and indicate which parameters and shapes of dried samples are the most useful...

The ripening stage can affect consumer preference and the market value of peaches. This study was aimed at developing an objective, effective, and fast procedure for distinguishing the different stages of ripeness of peaches using image texture parameters and models built using traditional machine learning algorithms. The ripeness classes (distingu...

The application of imaging and artificial intelligence allows the monitoring of seed quality in an objective, effective, and non-destructive manner. Nowadays, the importance of rapid and non-destructive procedures in seed quality assessment is constantly increasing. Approaches that combine image processing and traditional machine learning or deep l...

An in-depth determination of date fruit properties belonging to a given variety can have an impact on their consumption, processing, and storage. The objective of this study was to characterize date fruits of the ‘Mejhoul’ variety using (i) objective and non-destructive image-analysis features and (ii) measurements of physicochemical parameters. Ba...

The aim of this study was to develop the procedure for the varietal discrimination of date palm fruit using image analysis and traditional machine learning techniques. The fruit images of ‘Mejhoul’, ‘Boufeggous’, ‘Aziza’, ‘Assiane’, and ‘Bousthammi’ date varieties, converted to individual color channels, were processed to extract the texture parame...

The objective of this study was to assess the influence of storage under different storage conditions on black currant quality in a non-destructive and inexpensive manner using image processing and artificial intelligence. Black currants were stored at a room temperature of 20 ± 1 °C and a temperature of 3 °C (refrigerator). The images of black cur...

Artificial-intelligence-based analysis methods can provide objective and accurate results. This study aimed to evaluate the performance of machine learning algorithms to classify yeast-inoculated and uninoculated tomato samples using fluorescent spectroscopic data. For this purpose, three different tomato types were used: ‘local dwarf’, ‘Picador’,...

This study was aimed at revealing the usefulness of the combination of image analysis and artificial intelligence in assessing the quality of red currants in terms of external structure changes under the influence of different storage conditions. Red currants after harvest were subjected to storage at room temperature and at a lower temperature in...

Although the pits of cherries, which are often consumed as fruits, jams and fruit juices, are generally used as waste, these pits contain beneficial components such as oil, protein, crude fibers, vitamins, minerals, etc. In this context, the determination of pits according to cultivars is important in the food industry since pits with different cul...

Food processing allows for maintaining the quality of perishable products and extending their shelf life. Nondestructive procedures combining image analysis and machine learning can be used to control the quality of processed foods. This study was aimed at developing an innovative approach to distinguishing fresh and lacto-fermented red bell pepper...

This study aimed at correlating image features with the lycopene content of tomato fruit. Tomato cultivars with different fruit colors, such as ‘Ożarowski’ (yellow), ‘Marvel Striped’ (yellow-orange-pink), ‘Green Zebra’ (green), Sandoline F1 (red), Cupidissimo F1 (red), and Sacher F1 (brown) were selected for the study. The tomato fruits were imaged...

This study was aimed at evaluating the effect of spontaneous lacto-fermentation of carrot slices on flesh structure using different machine learning approaches. The textures computed from digital images of lacto-fermented and fresh carrot slices were compared using neural networks and other algorithms from different groups. In the case of Multilaye...

The research was carried out to compare the effectiveness of models built using deep learning and traditional machine learning algorithms to distinguish between Fusarium-infected and healthy wheat kernels. The wheat grain was obtained from a farm located in northeastern Poland. Four hundred and forty naturally infected kernels and four hundred and...

Food preservation is used to maintain the quality of perishable fruit and vegetables. There is a need to process raw materials to extend their shelf life. However, the quality of processed foods should be controlled. The aim of the research was to develop discriminative models to evaluate changes in the structure of bell pepper flesh as a result of...

In the case of cucumber, postharvest challenges may focus on preserving the high quality and extending the shelf-life of the fruit. Digital image analysis provides objective information about the quality of food products and the changes in their properties as a result of postharvest processing. This study aimed to develop discriminative models for...

Image analysis can provide reproducible, objective and accurate results using a non-destructive, inexpensive procedure. The aim of this study was to evaluate the usefulness of the textures calculated from images of the flesh and skin of tomato fruit for cultivar discrimination. The color images of six tomato cultivars were acquired for whole peeled...

Determining the variety of wheat is important to know the physical and chemical properties which may be useful in grain processing. It also affects the price of wheat in the food industry. In this study, a Convolutional Neural Network (CNN)-based model was proposed to determine wheat varieties. Images of four different piles of wheat, two of which...

The objective of this study was to compare the usefulness of machine learning algorithms for distinguishing the potato lines and varieties based on selected fluorescence spectroscopic data. The potato tubers belonging to two breeding lines S 617 and S 716 and two varieties Trezor and Sante were examined. The discrimination analysis was performed us...

The objective of this study was to compare the slice image features of cucumbers preserved in different ways and fresh cucumbers. The models for discrimination of spontaneous lacto-fermented, pickled using a vinegar solution and fresh cucumber slices were built based on selected textures extracted from digital images converted to color channels L,...

The correct identification of potato cultivars is of great importance for both processing and cultivation due to differences in properties. The objective of this study was to discriminate potato cultivars “Irga”, “Riviera” and “Colomba” using models developed based on selected textures of tuber images converted to color channels R, G, B, L, a, b, X...

Coronavirus disease (COVID-19), which affects the whole world, continues to spread. This disease has infected and killed millions of people worldwide. To limit the rate of spread of the disease, early detection should be provided and then the infected person should be quarantined. This paper proposes a Deep Learning-based application for early and...

The sunn pest–damaged (SPD) wheat grains negatively affect the flour quality and cause yield loss. This study focuses on the detection of SPD wheat grains using deep learning. With the created image acquisition mechanism, healthy and SPD wheat grains are displayed. Image preprocessing steps are applied to the captured raw images, then data augmenta...

Drought stress can affect the yield and quality of cultivated plants. The deficit of water may result in the physiological and anatomical reactions at organ, tissue and cellular levels of the plant species. The objective of this study was to discriminate different onion samples with the use of innovative models based on fluorescence spectroscopic d...

The different cultivars of apricot seeds may differ in their properties. To ensure economical and efficient seed processing, knowledge of the cultivars’ composition and physical properties may be necessary. Therefore, the correct identification of the cultivar of the apricot seeds may be very important. The objective of this study was to develop mo...

In this study, the effect of different photosynthetic photon flux density (PPFD) provided by LEDs (Light Emitting Diodes) and photoperiod on biomass production, morphological traits, photosynthetic performance, sensory attributes, and image texture parameters of indoor cultivated romaine lettuce was evaluated. Two cultivars of lettuce Lactuca sativ...

The objective of this study was to evaluate the changes in the textures of slice images of radish subjected to lacto-fermentation. The models developed for individual color channels of images and color spaces RGB, Lab, YUV, XYZ were used to distinguish between fresh and lacto-fermented radishes. The discrimination accuracy reached 100% in the case...

In the case of cucumber, postharvest challenges may focus on preserving the high quality and extending the shelf-life. Digital image analysis provides objective information about the quality of food products and the changes in the properties as a result of postharvest processing. This study was aimed at developing discriminative models for distingu...

The correct identification of potato cultivars is of great importance for both processing and cultivation due to differences in properties. The objective of this study was to discriminate potato cultivars 'Irga', 'Riviera' and 'Colomba' using models developed based on selected textures of tuber images converted to color channels R, G, B, L, a, b, X...

The aim of the research was to compare the possibility of distinguishing the cultivars of processed beetroots using image analysis technique and sensory evaluation. The differentiation of processed samples was tested for freeze-dried beetroot 'Czerwona Kula' and 'Cylindra', lacto-fermented beetroot 'Czerwona Kula' and 'Cylindra', freeze-dried lacto...

The objective of this study was to evaluate the usefulness of machine learning based on image texture parameters to discriminate plum stone cultivars. The plums of cultivars ‘Emper’, ‘Kalipso’, and ‘Polinka’ were sampled. For each cultivar, one hundred images of plum stones were acquired using a digital camera. Processing of the plum stone images i...

This study was aimed at developing the discriminant models for distinguishing the tomato seeds based on texture parameters of the outer surface of seeds calculated from the images (scans) converted to individual color channels R , G , B , L , a , b , X , Y , Z . The seeds of tomatoes ‘Green Zebra’, ‘Ożarowski’, ‘Pineapple’, Sacher F1 and Sandoline...

The aim of this study was to build the discriminative models for distinguishing the different cultivars of flesh of pumpkin 'Bambino', 'Butternut', 'Uchiki Kuri' and 'Orange' based on selected textures of the outer surface of images of cubes. The novelty of research involved the use of about 2000 different textures for one image. The highest total...

Background and Objectives Sorghum is an alternative crop where poor soil is a limiting factor for the production of corn. Laboratory measurements of chemical compounds of grains are expensive, time‐consuming predominantly done on powdered samples. Therefore, a rapid and reliable method integrating image processing and machine learning was evaluated...

Plum fruit and kernels offer bioactive material for industrial production. The promising procedure for distinguishing plum kernel cultivars used in this study comprised two stages: image analysis to compute the texture parameters of plum kernels belonging to three cultivars ‘Emper’, ‘Kalipso’, and ‘Polinka’, and discriminant analysis using machine...

Sorghum bicolor L. Moench is a cereal producing reasonable yield in dry and semi-dry, hot and saline regions, where the production of other crops is limited. Sorghum grain is a rich source of minerals including magnesium (Mg), iron (Fe), zinc (Zn), Manganese (Mn), and calcium (Ca). However, the quantity of minerals can be dependent on the different...

The increasing world population makes it necessary to fight challenges such as climate change and to realize production efficiently and quickly. However, the minimum cost, maximum income, environmental pollution protection and the ability to save water and energy are all factors that should be taken into account in this process. The use of informat...

The aim of this study was to evaluate the usefulness of a digital camera and a flatbed scanner for acquiring the cross-section images intended to calculate the texture parameters for cultivar discrimination of quince. The quince belonging to cultivars ‘Bereczki’, ‘Kaszczenko’, ‘Leskovac’, ‘Marija’ and ‘Uspiech’ were used in the research. The textur...

This study was aimed at evaluating the effect of freeze-drying and lacto-fermentation on the texture parameters of images and sensory attributes of beetroots. The samples were imaged using a flatbed scanner, and textures from images converted to color channels L, a, b, R, G, B, X, Y, Z were computed. The discrimination of raw and processed beetroot...

The seeds of high quality are very important for the cultivation of the pepper. The required cultivation practices and growing conditions may be affected by the cultivar. Also, the productivity and properties of pepper depend on the cultivar. The selection of appropriate seed cultivars may be necessary for the breeding programs. The cultivar differ...

The apricots belonging to four cultivars were sampled from the orchard located in central Poland. The seeds were extracted manually from apricot stones. The digital color images of fifty seeds for each cultivar were acquired using a flatbed scanner. Image processing was performed using the MaZda application (Łódź University of Technology, Institute...

https://www.mdpi.com/journal/horticulturae/special_issues/nondestructive_vegetables Special Issue "Innovative Nondestructive Techniques to Improve Quality Measurement of Fruits and Vegetables", Horticulturae. Researchers involved in the improvement of nondestructive techniques for measuring the quality of fruit and vegetables as well as innovati...

The peaches belonging to different cultivars can be characterized by differentiation in properties. The aim of this study was to evaluate the usefulness of individual parts of fruit (skin, flesh, stone and seed) for cultivar discrimination of peaches based on textures determined using image analysis. Discriminant analysis was performed using the cl...

Breast cancer has a high mortality rate worldwide. Early diagnosis is of great importance to reduce this rate. Early diagnosis ensures that patients receive appropriate treatment as soon as possible. Early diagnosis can be achieved by automatic classification through computerized systems. This study aims to detect breast cancer using frequently use...

MDPI is a publisher of open access, international, academic journals. We rely on active researchers, highly qualified in their field to provide review reports and support the editorial process. The criteria for selection of reviewers include: holding a doctoral degree or having an equivalent amount of research experience; a national or internationa...

The aim of this study was to develop discriminative models for distinguishing different cultivars of whole sweet cherries based on the texture parameters determined using image analysis. The whole fruit images of “Büttner's Red,” “Kordia,” and “Lapins” were acquired using a digital camera. The discriminative models were built for textures selected...

Digital image analysis can allow determining the features of seeds and their interpretation in a fast, inexpensive, and non-destructive way. The research aimed to develop discriminative models based on geometric features to distinguish seeds belonging to different apple cultivars. Images of seeds of apples ‘Gala’, ‘Jonagold’ and ‘Idared’ were acqui...

The aim of this study was to develop the models based on the texture parameters of images of selected parts of pepper fruit for cultivar discrimination. This study was aimed to compare the usefulness of textures from cross‐sections (slices) and seeds of pepper for distinguishing the different cultivars using the discriminative classifiers. The text...