Mariusz Szymanek

profesor

Uniwersytet Jagielloński w Krakowie

Poland

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Professor Mariusz Szymanek is a faculty member at Uniwersytet Przyrodniczy w Lublinie in Poland. His research areas include the application of advanced methodologies in agricultural sciences, focusing on topics such as polyphenol oxidase detection, drying efficiency predictions, and the modeling of soil stress. He has published several articles that explore innovative approaches in fields such as spectroscopy, artificial neural networks, and environmental impact assessments.

Articles (24)

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2025

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2022

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2022

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2022

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2022

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2022

Collaborators (4)

Krystyna Wojciechowska

Lublin University of Technology

POLAND

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Wojciech Tanaś

University of Life Sciences in Lublin

POLAND

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Ryszard Kulig

associate professor

University of Life Sciences

POLAND

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Jacek Dziwulski

assistant professor/doctor engineer

Lublin University of Technology

POLAND

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Mariusz Szymanek

Research Interests

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Articles (24)

Unveiling the fingerprint of apple browning: A Vis/NIR-metaheuristic approach for rapid polyphenol oxidase and peroxidases activities detection in red delicious apples

Drying Time, Energy and Exergy Efficiency Prediction of Corn (Zea mays L.) at a Convective-Infrared-Rotary Dryer: Approach by an Artificial Neural Network

Evaluation of the life cycle and determining the degree of firmness and acidity of rose apple with image processing and neural network with the grey wolf method to predict environmental effects

Optimization of Injection Timing and Ethyl Hexyl Nitrate Additive Effects on Diesel Engine Characteristics Using Rubber Seed Oil Biodiesel

Investigating the Possibility of Using Renewable Energies in Livestock Units in Iran (A Case Study: Fereydounshahr)

Determination of Drying Characteristics and Physicochemical Properties of Mint (Mentha spicata L.) Leaves Dried in Refractance Window

Producer Welfare Benefits of Rating Area Yield Crop Insurance

Evaluation of the changes in Bekker's parameters and their use in determining the rolling resistance

Experimental Evaluation of Nano Coating on the Draft Force of Tillage Implements and Its Prediction Using an Adaptive Neuro-Fuzzy Inference System (ANFIS)

Recent Advances in the Application of Agricultural Waste in Construction

Analysis of Energy Indicators of Dry Farming Wheat Production in Northwest of Iran

Vibration Reduction with Rubber-Metal Cab Supports

Modelling the effect of depth, width, and velocity of tillage tine on soil stress and draught using the finite element method

VIS/NIR Spectroscopy as a Non-Destructive Method for Evaluation of Quality Parameters of Three Bell Pepper Varieties Based on Soft Computing Methods

Response Surface Methodology Approach for Predicting Convective/Infrared Drying, Quality, Bioactive and Vitamin C Characteristics of Pumpkin Slices

Prediction compost criteria of organic wastes with Biochar additive in in-vessel composting machine using ANFIS and ANN methods

Development and Process Optimization of a Ready-to-Eat Snack from Rice-Cowpea Composite by a Twin Extruder

Drying Characteristics, Kinetic Modeling, Energy and Exergy Analyses of Water Yam (Dioscorea alata) in a Hot Air Dryer

Investigating the Effect of Tractor’s Tire Parameters on Soil Compaction Using Statistical and Adaptive Neuro-Fuzzy Inference System (ANFIS) Methods

Interaction of Different Drying Methods and Storage on Appearance, Surface Structure, Energy, and Quality of Berberis vulgaris var. asperma

Managing the quality of seeds from cereal conditioned with effective microorganisms (EM) and red light (RL)

Impact of electromagnetic stimulation on the mechanical and photophysical properties of alfalfa leaves

Experimental and numerical analysis of thermodynamic performance of microwave dryer of onion

Investigating the effect of the tractor driving system type on soil compaction using different methods of ANN, ANFIS and step wise regression

Collaborators (4)

Krystyna Wojciechowska

Wojciech Tanaś

Ryszard Kulig

Jacek Dziwulski

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