Tomasz Wojciechowski

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Assistant Professor

Uniwersytet Przyrodniczy w Poznaniu

Poland

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About

Dr. Tomasz Wojciechowski is an Assistant Professor at Uniwersytet Przyrodniczy w Poznaniu, Poland. His research areas include genetic diversity in crops, artificial intelligence applications in agricultural yield predictions, and the impact of various substances on plant productivity under stress conditions. Recent articles reflect his focus on enhancing agricultural practices through innovative methodologies and technological advancements in crop management.

Recent Grants

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SmartAgriHubs. Connecting the dots to unleash the innovation potential for digital transformation of the European agri-food sector

Open Date: 2018-11-01

Close Date: 2022-10-01

Articles (10)

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2023

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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

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2021

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2021

Collaborators (9)

Barbara Wróbel

Institute of Technology and Life Sciences

POLAND

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Danuta Kurasiak-Popowska

associate professor

University of Life Sciences in Poznań

POLAND

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Jaroslaw Kurek

University Professor

Warsaw University of Life Sciences

POLAND

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Katarzyna Pentoś

Wroclaw University of Environmental and Life Sciences

POLAND

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Michał Kwiatek

Associate Professor (Prof. Ucz.)

Uniwersytet Przyrodniczy w Poznaniu

POLAND

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Anna Paszkiewicz-Jasińska

Institute of Technology and Life Sciences

POLAND

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Mirosław Czechlowski

University of Life Sciences in Poznań

POLAND

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Doaa Bahaa Eldin Darwish

SAUDI ARABIA

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Magdalena Piekutowska

Pomeranian University in Słupsk

POLAND

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Tomasz Wojciechowski

Research Interests

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Recent Grants

Articles (10)

Genetic Diversity and Population Structure in Bread Wheat Germplasm from Türkiye Using iPBS-Retrotransposons-Based Markers

Somaclonal Variation for Genetic Improvement of Starch Accumulation in Potato (Solanum tuberosum) Tubers

Prediction of Blueberry (<i>Vaccinium corymbosum</i> L.) Yield Based on Artificial Intelligence Methods

Application of Artificial Neural Network Sensitivity Analysis to Identify Key Determinants of Harvesting Date and Yield of Soybean (Glycine max [L.] Merrill) Cultivar Augusta

Evaluation of Multiple Linear Regression and Machine Learning Approaches to Predict Soil Compaction and Shear Stress Based on Electrical Parameters

Improving Yield Components and Desirable Eating Quality of Two Wheat Genotypes Using Si and NanoSi Particles under Heat Stress

Application of Artificial Neural Networks Sensitivity Analysis for the Pre-Identification of Highly Significant Factors Influencing the Yield and Digestibility of Grassland Sward in the Climatic Conditions of Central Poland

A Framework for Financing Post-Registration Variety Testing System: A Case Study from Poland

Simplified and Hybrid Remote Sensing-Based Delineation of Management Zones for Nitrogen Variable Rate Application in Wheat

Mitigation of Drought Damages by Exogenous Chitosan and Yeast Extract with Modulating the Photosynthetic Pigments, Antioxidant Defense System and Improving the Productivity of Garlic Plants

Collaborators (9)

Barbara Wróbel

Danuta Kurasiak-Popowska

Jaroslaw Kurek

Katarzyna Pentoś

Michał Kwiatek

Anna Paszkiewicz-Jasińska

Mirosław Czechlowski

Doaa Bahaa Eldin Darwish

Magdalena Piekutowska

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