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Jean de Dieu Marcel UFITIKIREZI

Senior Lecturer

University of South Bohemia

Czech Republic

Research Interests

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Professors in Computer Vision

About

Jean de Dieu Marcel UFITIKIREZI is a Senior Lecturer at the University of South Bohemia in České Budějovice, Czech Republic. His research areas include computer vision in livestock farming, machine learning applications in IoT security, and agricultural waste valorization. Recent publications focus on techniques for cattle identification using deep learning methods and environmentally friendly approaches for soil remediation. He is dedicated to enhancing agricultural practices through advanced computational technologies.

Articles (17)

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2026

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2026

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2026

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2026

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

Collaborators (4)

Yves Theoneste Murindangabo

Scientific Researcher

Charles University

CZECH REPUBLIC

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Sandra Nicole Umurungi

University of South Bohemia

CZECH REPUBLIC

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Zbyněk Havelka

Head of the Office

University of South Bohemia

CZECH REPUBLIC

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František Špalek

Assistant Professor

University of South Bohemia

CZECH REPUBLIC

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Jean de Dieu Marcel UFITIKIREZI

Research Interests

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About

Articles (17)

A computer vision system for automated live chicken weight estimation using instance segmentation and body-area regression

Automated detection and localization of hoof diseases in dairy cattle using an integrated computer vision and infrared thermography system

Computer vision in livestock and poultry farming: A quantitative and translational review of research trends and real-world impact

Design and validation of an inline conductometric measurement instrument for hydroponic nutrient solutions

Advancing precision agriculture with computer vision: A comparative study of YOLO models for weed and crop recognition

Computer vision-based approaches to cattle identification: A comparative evaluation of body texture, QR code, and numerical labelling

Implementation of Machine Vision Methods for Cattle Detection and Activity Monitoring

Leveraging the potential of convolutional neural networks in poultry farming: a 5-year overview

Deep learning in poultry farming: comparative analysis of Yolov8, Yolov9, Yolov10, and Yolov11 for dead chickens detection

Computer vision in precision livestock farming: benchmarking YOLOv9, YOLOv10, YOLOv11, and YOLOv12 for individual cattle identification

Machine Learning-Assisted Cryptographic Security: A Novel ECC-ANN Framework for MQTT-Based IoT Device Communication

Remediation of Heavy Metal-Contaminated Soils Using Phosphate-Enriched Sewage Sludge Biochar

Agricultural Waste Valorization: Exploring Environmentally Friendly Approaches to Bioenergy Conversion

Enhancing cattle production and management through convolutional neural networks. A review

Enhancing cattle production and management through convolutional neural networks. A review

Intercomparison of Indexable Cutting Inserts’ Wear Progress and Chip Formation During Machining Hardened Steel AISI 4337 and Austenitic Stainless Steel AISI 316 L

Comparative analysis of soil organic matter fractions, lability, stability ratios, and carbon management index in various land use types within bharatpur catchment, Chitwan District, Nepal

Collaborators (4)

Yves Theoneste Murindangabo

Sandra Nicole Umurungi

Zbyněk Havelka

František Špalek

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