Sebastian Kujawa

assistant professor

University of Life Sciences in Poznań

Poland

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About

Sebastian Kujawa is an assistant professor at Poznań University of Life Sciences in Poland. His research focuses on machine learning applications in agriculture, specifically in crop monitoring, drought tolerance assessment, and resource management. Recent publications include studies on neural networks for predicting starch content in potatoes, detecting pests in cotton crops, and quantifying nutrient content in plants using remote sensing technologies.

Articles (13)

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (4)

Wojciech Mueller

Profesor

University of Life Sciences in Poznań

POLAND

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Katarzyna Pentoś

Wroclaw University of Environmental and Life Sciences

POLAND

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Wojciech Czekała

Professor Assistant

University of Life Sciences in Poznań

POLAND

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Gniewko Niedbała

Full Professor/PhD

University of Life Sciences in Poznań

POLAND

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Sebastian Kujawa

Research Interests

Explore related searches

Contact this professor

About

Articles (13)

Combining Machine Learning Algorithms with Earth Observations for Crop Monitoring and Management

Exploring Digital Innovations in Agriculture: A Pathway to Sustainable Food Production and Resource Management

Insights into Drought Tolerance of Tetraploid Wheat Genotypes in the Germination Stage Using Machine Learning Algorithms

Predicting Starch Content in Early Potato Varieties Using Neural Networks and Regression Models: A Comparative Study

Digital Innovations in Agriculture

Neural Image Analysis for the Determination of Total and Volatile Solids in a Composted Sewage Sludge and Maize Straw Mixture

Compact Convolutional Transformer (CCT)-Based Approach for Whitefly Attack Detection in Cotton Crops

Quantifying Nutrient Content in the Leaves of Cowpea Using Remote Sensing

Modeling the Essential Oil and <i>Trans</i>-Anethole Yield of Fennel (<i>Foeniculum vulgare</i> Mill. var. <i>vulgare</i>) by Application Artificial Neural Network and Multiple Linear Regression Methods

Neural Identification of a Temperature Field in the Storing Phase of Thermal Energy in Rock Bed Thermal Storage

Artificial Neural Networks in Agriculture

Beacon in Information System as Way of Supporting Identification of Cattle Behavior

Using convolutional neural networks to classify the maturity of compost based on sewage sludge and rapeseed straw

Collaborators (4)

Wojciech Mueller

Katarzyna Pentoś

Wojciech Czekała

Gniewko Niedbała

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