This page lists the research projects where I have had the privilege to collaborate, utilizing the power of remote sensing technology to address modern challenges in agriculture. Each entry provides a brief overview of the paper, including the title, authors, keywords, journal and date. For each paper, a direct link is provided to access the full text. In some cases, we have also made the underlying data and code publicly available, enabling other researchers to reproduce our results or build upon our work.
Field-Scale UAV-Based Multispectral Phenomics: Leveraging Machine Learning, Explainable AI, and Hybrid Feature Engineering for Enhancements in potato phenotyping
Authors: Lapajne J., Vončina A., Vojnović A., Donša D., Dolničar P., Žibrat U.
Keywords: Multispectral imaging, potato research, machine learning
Published In: Computers and Electronics in Agriculture; Elsevier
Publication Date: Dec, 2024
Enhancing water-deficient potato plant identification: assessing realistic performance of attention-based deep neural networks and hyperspectral imaging for agricultural applications
Authors: Lapajne J., Vojnović A., Vončina A., Žibrat U.
Keywords: Hyperspectral imaging, deep learning, potato plant, water-deficiency, drought stress
Published In: Plants; basel
Publication Date: Jul, 2024
Early Detection of Wireworm (Coleoptera: Elateridae) Infestation and Drought Stress in Maize Using Hyperspectral Imaging
Authors: Praprotnik E., Voncina A., Zigon P., Knapic M., Susic N., Sirca S., Vodnik D., Lenarcic D., Lapajne J., Zibrat U., Razinger J.
Keywords: Hyperspectral imaging, drought stress, wireworms, maize early detection, precision agriculture
Published In: Agronomy; basel
Publication Date: Jan, 2023
📄 Paper
Comparison of Selected Dimensionality Reduction Methods for Detection of Root-Knot Nematode Infestations in Potato Tubers Using Hyperspectral Imaging
Authors: Lapajne J., Knapic M., Zibrat U.
Keywords: Hyperspectral imaging, dimensionality reduction, LDA, PLS, PCA, Random Forest, ReliefF, XGB, Meloidogyne, Solanum tuberosum
Published In: Sensors; basel
Publication Date: Jan, 2022
📄 Paper
Detection of Root-Knot Nematode Meloidogyne luci Infestation of Potato Tubers Using Hyperspectral Remote Sensing and Real-Time PCR Molecular Methods
Authors: Zibrat U., Stare B.G., Knapic M., Susic N., Lapajne J., Sirca S.
Keywords: Potato infestation, latent tuber infestation, hyperspectral imaging, molecular detection, plant parasitic nematodes, meloidogyne luci
Published In: Remote sensing; basel
Publication Date: May, 2021
📄 Paper