Publications

We invite you to read our publications.

2022

Classification of Potato Varieties Drought Stress Tolerance Using Supervised Learning

D. Boguszewska-Mańkowska, B. Ruszczak, and K. Zarzyńska, “Classification of Potato Varieties Drought Stress Tolerance Using Supervised Learning,” Appl. Sci., vol. 12, no. 4, Feb. 2022, doi: 10.3390/app12041939

Deep potato – The hyperspectral imagery of potato cultivation with reference agronomic measurements dataset: Towards potato physiological features modeling

B. Ruszczak and D. Boguszewska-Mańkowska, “Deep potato – The hyperspectral imagery of potato cultivation with reference agronomic measurements dataset: Towards potato physiological features modeling,” Data Br., vol. 42, p. 108087, 2022, doi: 10.1016/j.dib.2022.1080

Soil Moisture a Posteriori Measurements Enhancement Using Ensemble Learning

B. Ruszczak and D. Boguszewska-Mańkowska, “Soil Moisture a Posteriori Measurements Enhancement Using Ensemble Learning,” Sensors, vol. 22, no. 12, p. 4591, Jun. 2022, doi: 10.3390/s22124591

2021

Monitoring Vegetation Changes Using Satellite Imaging – NDVI and RVI4S1 Indicators

M. Tomaszewski, R. Gasz, and K. Smykała, “Monitoring Vegetation Changes Using Satellite Imaging – NDVI and RVI4S1 Indicators,” Adv. Intell. Syst. Comput., vol. 1362 AISC, pp. 268–278, 2021, doi: 10.1007/978-3-030-72254-8_29

2020

The detection of Alternaria solani infection on tomatoes using ensemble learning

B. Ruszczak, K. Smykała, and K. Dziubański, “The detection of Alternaria solani infection on tomatoes using ensemble learning,” J. Ambient Intell. Smart Environ., vol. 12, no. 5, pp. 407–418, 2020, doi: 10.3233/AIS-200573.

Application of Ensemble Learning to Detect Alternaria Solani Infection on Tomatoes Cultivated Under Foil Tunnels

K. Smykała, B. Ruszczak, and K. Dziubański, “Application of Ensemble Learning to Detect Alternaria Solani Infection on Tomatoes Cultivated Under Foil Tunnels,” in Intelligent Environments 2020, 2020, pp. 145–150, doi: 10.3233/AISE200033

2019

Brassica napus florescence modeling based on modified vegetation index using sentinel-2 imagery

M. Słapek, K. Smykała, and B. Ruszczak, “Brassica napus florescence modeling based on modified vegetation index using sentinel-2 imagery,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019, vol. 11509 LNAI, pp. 80–90, doi: 10.1007/978-3-030-20915-5_8.