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Publications

Explore selected scientific and conference works developed by the QZ Solutions team and partners in the field of Earth Observation, hyperspectral imaging, and AI for agriculture

QZ Solutions - scientific publications

Explore our publications

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2026

Hyperspectral Remote Sensing and AI in Agriculture, 4–5 February 2026, Luxembourg

DISENTANGLING BIOTIC AND WATER CROP STRESSORS USING RANDOM FOREST AND INTEGRATED HYPERSPECTRAL AND THERMAL SATELLITE FEATURES

  • T. Jiang
  • T. Hu
  • E. Prikaziuk
  • M. Wocher
  • M. Spagnolli
  • Ż. Swacha
  • Ch. van der Tol

Tags / Topics:

Hyperspectral, AgriCEM, Crop Stress, Random Forest, Thermal Remote Sensing

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2026

14th EARSeL Workshop on Imaging Spectroscopy, 2–4 June 2026, Helsinki, Finland

PHYSICS-BASED SIMULATION OF CHIME AND LSTM DATA TO SUPPORT ADVANCED AGRICULTURE MONITORING

  • M. Spagnolli
  • E. Prikaziuk
  • M. Wocher
  • T. Hu
  • Z. Kawalec
  • Ż. Swacha
  • A. Schucknecht

Tags / Topics:

Hyperspectral, AgriCEM, CHIME, LSTM, SUGAR BEET, SIMULATION

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2026

14th EARSeL Workshop on Imaging Spectroscopy, 2–4 June 2026, Helsinki, Finland

ADVANCED MONITORING OF CROP TRAITS WITH HYPERSPECTRAL AND MULTISPECTRAL TIME SERIES

  • A. Schucknecht
  • M. Wocher
  • T. Hank
  • Z. Kawalec
  • R. Ceriani
  • R. Kiese
  • A. Bayer

Tags / Topics:

Hyperspectral, AgriCEM, Crop Monitoring, EnMAP, PRISMA, Sentinel-2

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2025

Proceedings of the Genetic and Evolutionary Computation Conference

SINGLE- AND MULTI-OBJECTIVE GENETIC OPTIMIZATION OF HYPERSPECTRAL IMAGE PRE-PROCESSING

  • B. Ruszczak
  • S. Kubiciel-Lodzińska
  • K. Rudnik
  • et al.

Tags / Topics:

Hyperspectral, AI, Optimization, DeepPotato, Agriculture

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2025

Scientific Reports

SUGAR MANAGEMENT AND PHOTOSYNTHESIS OF SUGAR BEET AFTER INFECTION BY CERCOSPORA BETICOLA

  • A. Baryga
  • S. Rusinowski
  • J. Krzyżak
  • A. Kunicka-Styczyńska
  • B. Świącik
  • R. Stec
  • K. Smykała

Tags / Topics:

Sugar Beet, Plant Physiology, Disease Stress, Photosynthesis

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2025

Living Planet Symposium

AGRICULTURAL STRESS MONITORING VIA HYPERSPECTRAL AND THERMAL SATELLITE OBSERVATIONS

  • T. Hu
  • T. Jiang
  • E.Prikaziuk
  • M.Wocher
  • M. Spagnolli
  • A. Schucknecht
  • K. Smykała
  • Ż. Swacha
  • C.Tol

Tags / Topics:

CHIME & LSTM, Hyperspectral, Earth Observation

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2025

Living Planet Symposium

A MULTI-MISSION DATASET LEVERAGING CHIME AND LSTM FOR SEASONAL CROP MONITORING

  • M. Spagnolli
  • E. Prikaziuk
  • Tian Hu
  • A. Schucknecht
  • K. Smykała
  • Ż. Swacha
  • C.Tol
  • M.Wocher

Tags / Topics:

CHIME & LSTM, Dataset, Earth Observation

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2024

IEEE Geoscience and Remote Sensing Magazine

ESTIMATING SOIL PARAMETERS FROM HYPERSPECTRAL IMAGES: A BENCHMARK DATASET AND OUTCOME OF THE HYPERVIEW CHALLENGE

  • J. Nalepa
  • Ł. Tulczyjew
  • B. Le Saux
  • N. Longépé
  • B. Ruszczak
  • A. M. Wijata
  • K. Smykała
  • M. Myller
  • M. Kawulok
  • R.S. Kuzu

Tags / Topics:

Hyperspectral, Soil, Machine Learning, Benchmark Dataset, Earth Observation

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2024

International Geoscience and Remote Sensing Symposium

INTUITION-1: TOWARD IN-ORBIT BARE SOIL DETECTION USING SPECTRAL VEGETATION INDICES

  • A. M. Wijata
  • T. Lakota
  • M. Ćwiek
  • B. Ruszczak
  • M. Gumiela
  • Ł. Tulczyjew
  • A. Bartoszek
  • N. Longépé
  • K. Smykała
  • J. Nalepa

Tags / Topics:

Intuition-1, On-Board Processing, Hyperspectral, Soil, Vegetation Indices, Satellite Mission

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2024

International Conference on Visual Communications and Image Processing

CONVOLUTIONAL NEURAL NETWORKS ESTIMATE ROOT-ZONE SOIL MOISTURE FROM HYPERSPECTRAL IMAGES

  • Ł. Tulczyjew
  • B. Ruszczak
  • M. Myller
  • et al.

Tags / Topics:

Hyperspectral, CNN, Soil Moisture, Deep Learning, DeepPotato

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2023

GECCO Companion – ACM, New York

REDUCING HIGH-DIMENSIONAL FEATURE SET OF HYPERSPECTRAL MEASUREMENTS FOR PLANT PHENOTYPE CLASSIFICATION

  • Bogdan Ruszczak

Tags / Topics:

Hyperspectral, AI, Feature Reduction, Phenotyping, DeepPotato

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2024

Signal, Image and Video Processing

VARIOUS TOMATO INFECTION DISCRIMINATION USING SPECTROSCOPY

  • B. Ruszczak
  • K. Smykała
  • M. Tomaszewski
  • P.J.N. Lorente

Tags / Topics:

Tomato, Hyperspectral, Spectroscopy, Plant Disease Detection, AI

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2023

International Conference on Computational Science, Lecture Notes in Computer Science (LNCS), Springer

ESTIMATING CHLOROPHYLL CONTENT FROM HYPERSPECTRAL DATA USING GRADIENT FEATURES

  • B. Ruszczak
  • A. M. Wijata
  • J.Nalepa

Tags / Topics:

Hyperspectral, AI, Phenotyping, DeepPotato

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2023

Scientific Reports

EARLY DETECTION OF TOMATO DISEASES FROM TEMPORALLY-AGGREGATED HYPERSPECTRAL MEASUREMENTS

  • M. Tomaszewski
  • J.Nalepa
  • E.Moliszewska
  • B. Ruszczak
  • K.Smykała

Tags / Topics:

Tomato, Hyperspectral, AI

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2022

Remote Sensing

UNBIASING THE ESTIMATION OF CHLOROPHYLL FROM HYPERSPECTRAL IMAGES

  • B. Ruszczak
  • A. M. Wijata
  • J.Nalepa

Tags / Topics:

Hyperspectral, AI

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2022

Data in Brief

DEEP POTATO — HYPERSPECTRAL IMAGERY OF POTATO CULTIVATION WITH REFERENCE MEASUREMENTS

  • B. Ruszczak
  • D. Boguszewska-Mańkowska

Tags / Topics:

Potato, Hyperspectral

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2022

Applied Sciences

CLASSIFICATION OF POTATO VARIETIES’ DROUGHT TOLERANCE USING SUPERVISED LEARNING

  • D. Boguszewska-Mańkowska
  • B. Ruszczak
  • K. Zarzyńska

Tags / Topics:

Potato, AI

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2022

Sensors

SOIL MOISTURE A POSTERIORI MEASUREMENTS ENHANCEMENT USING ENSEMBLE LEARNING

  • B. Ruszczak
  • D. Boguszewska-Mańkowska

Tags / Topics:

Soil, AI

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2022

International Conference on Image Processing

THE HYPERVIEW CHALLENGE — ESTIMATING SOIL PARAMETERS FROM HYPERSPECTRAL IMAGES

  • J. Nalepa
  • B. Le Saux
  • N. Longépé
  • Ł. Tulczyjew
  • M. Myller
  • M. Kawulok
  • K. Smykała
  • M. Gumiela

Tags / Topics:

Hyperspectral, Soil, Earth Observation, AI

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2021

Advances in Intelligent Systems & Computing

MONITORING VEGETATION CHANGES USING SATELLITE IMAGING – NDVI AND RVI4S1 INDICATORS

  • M. Tomaszewski
  • R. Gasz
  • K. Smykała

Tags / Topics:

Multispectral, Sentinel-2, Vegetation Indices

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2020

Intelligent Environments

APPLICATION OF ENSEMBLE LEARNING TO DETECT ALTERNARIA SOLANI INFECTION ON TOMATOES

  • K. Smykała
  • B. Ruszczak
  • K. Dziubański

Tags / Topics:

Tomato, AI

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2020

Journal of Ambient Intelligence and Smart Environments

THE DETECTION OF ALTERNARIA SOLANI INFECTION ON TOMATOES USING ENSEMBLE LEARNING

  • K. Smykała
  • B. Ruszczak
  • K. Dziubański

Tags / Topics:

Tomato, AI

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2020

Electronic Engineering, Information Technology & Education Symposium

MACHINE LEARNING FOR AGRICULTURE BASED ON HYPERSPECTRAL DATA – AN OVERVIEW

  • B. Ruszczak
  • Z. Kawalec

Tags / Topics:

Review, Hyperspectral, AI

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2019

Lecture Notes in Artificial Intelligence

BRASSICA NAPUS FLORESCENCE MODELING BASED ON MODIFIED VEGETATION INDEX USING SENTINEL-2 IMAGERY

  • M.Słapek
  • K.Smykała
  • B. Ruszczak

Tags / Topics:

Multispectral, Sentinel-2, Vegetation Indices

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2018

ESA Φ-Week

DETECTING POTENTIAL RAPESEED ZONES – SEMI-AUTOMATED CLASSIFICATION FOR BEEKEEPERS

  • K.Smykała
  • B. Ruszczak
  • Z. Kawalec

Tags / Topics:

Rapeseed, Classification, Earth Observation

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2017

Language & Technology Conference: Human Language Technologies

NDVI IMAGERY IN POLLINATION AREAS DETECTION FOR MIGRATORY APIARY SCHEDULE

  • K.Smykała
  • B. Ruszczak
  • Z. Kawalec

Tags / Topics:

NDVI, Earth Observation

2025

Proceedings of the Genetic and Evolutionary Computation Conference

SINGLE- AND MULTI-OBJECTIVE GENETIC OPTIMIZATION OF HYPERSPECTRAL IMAGE PRE-PROCESSING

  • B. Ruszczak
  • S. Kubiciel-Lodzińska
  • K. Rudnik
  • et al.

Tags / Topics:

Hyperspectral, AI, Optimization, DeepPotato, Agriculture