@ARTICLE{
author={Randjelovic Predrag D,Djordjevic Vuk B,Miladinovic Jegor A,Bukonja Simona Z,Ceran Marina,Djukic Vojin,Vasiljevic Marjana B},
year={2025},
title={Soybean Yield Prediction with High-Throughput Phenotyping Data and Machine Learning},
journal={AGRICULTURE-BASEL},
volume={16},
number={1},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Vymyslicky Tomas,Trneny Oldrich,Rietman Hendrik,Balko Christiane,Djordjevic Vuk B,Randjelovic Predrag D,Dybova Magdalena},
year={2025},
title={Phenotypic characterization of soybean genetic resources at multiple locations: breeding implications for enhancing environmental resilience, yield and protein content},
journal={FRONTIERS IN PLANT SCIENCE},
volume={16},
number={},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Ceran Marina,Djordjevic Vuk B,Miladinovic Jegor A,Vasiljevic Marjana B,Djukic Vojin,Randjelovic Predrag D,Jacimovic Simona Z},
year={2024},
title={Selective Genotyping and Phenotyping for Optimization of Genomic Prediction Models for Populations with Different Diversity},
journal={PLANTS-BASEL},
volume={13},
number={7},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Randjelovic Predrag D,Djordjevic Vuk B,Miladinovic Jegor A,Prodanovic Slaven A,Ceran Marina,Vollmann Johann},
year={2023},
title={High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data},
journal={PLANT METHODS},
volume={19},
number={1},
pages={-},
document_type={Article},
} 

@ARTICLE{
author={Miladinov Zlatica J,Maksimovic Ivana V,Balesevic-Tubic Svetlana,Canak Petar B,Miladinovic Jegor A,Djukic Vojin,Randjelovic Predrag D},
year={2021},
title={Priming Fresh and Aged Seed of Soybean (Glycine max L.)},
journal={LEGUME RESEARCH},
volume={44},
number={4},
pages={452-457},
document_type={Article},
} 

@ARTICLE{
author={Randjelovic Predrag D,Djordjevic Vuk B,Milic Stanko B,Balesevic-Tubic Svetlana,Petrovic Kristina P,Miladinovic Jegor A,Djukic Vojin},
year={2020},
title={Prediction of Soybean Plant Density Using a Machine Learning Model and Vegetation Indices Extracted from RGB Images Taken with a UAV},
journal={AGRONOMY-BASEL},
volume={10},
number={8},
pages={-},
document_type={Article},
}