Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Bogdan Ruszczak"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Some plant diseases can significantly reduce harvest, but their early detection in cultivation may prevent those consequential losses. Conventional methods of diagnosing plant diseases are based on visual observation of crops, but the sympto
Externí odkaz:
https://doaj.org/article/3570870e9fae4a8ca3ae8c039812073c
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101476- (2023)
Satellite telemetry data is a special case of multivariate time series characterized by large volumes (in terms of both the number of series and samples), varying sampling rates (including time gaps), redundant sensors, and many interconnections betw
Externí odkaz:
https://doaj.org/article/aa2342ca84724841854aecf10562257b
Publikováno v:
Sensors, Vol 23, Iss 16, p 7171 (2023)
The power sector is one of the most important engineering sectors, with a lot of equipment that needs to be appropriately maintained, often spread over large areas. With the recent advances in deep learning techniques, many applications can be develo
Externí odkaz:
https://doaj.org/article/905193dbb3374416a04b1e9174db15d8
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108087- (2022)
The datasets provide hyperspectral imagery of potato fields with referencing agronomic measurements of several parameters. It contains also meteorological data collected on the place at the same time and some additional data on the variety of potatoe
Externí odkaz:
https://doaj.org/article/1e6a63ee10e3494eb961dc134836b7ac
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5526 (2022)
Recent advancements in hyperspectral remote sensing bring exciting opportunities for various domains. Precision agriculture is one of the most widely-researched examples here, as it can benefit from the non-invasiveness and enormous scalability of th
Externí odkaz:
https://doaj.org/article/7ea99434f61145d1a47c622150f5933e
Publikováno v:
Sensors, Vol 22, Iss 12, p 4591 (2022)
This work aimed to assess the recalibration and accurate characterization of commonly used smart soil-moisture sensors using computational methods. The paper describes an ensemble learning algorithm that boosts the performance of potato root moisture
Externí odkaz:
https://doaj.org/article/deef390fcc9e46a8af1f10acb5b248fb
Publikováno v:
Applied Sciences, Vol 12, Iss 4, p 1939 (2022)
The presented study was aimed at investigating the variability for drought tolerance among potato cultivars. To achieve this, the stability of drought tolerance of potato cultivars under different water regime conditions was inspected during 11 years
Externí odkaz:
https://doaj.org/article/3a42e834ab444b3296937d7250411dbc
Publikováno v:
Data in Brief, Vol 18, Iss , Pp 765-768 (2018)
Electrical insulators are elements of power lines that require periodical diagnostics. Due to their location on the components of high-voltage power lines, their imaging can be cumbersome and time-consuming, especially under varying lighting conditio
Externí odkaz:
https://doaj.org/article/ac95086f464649b9b7b9ea5dad432a52
Autor:
Jakub Nalepa, Jacek Andrzejewski, Bogdan Ruszczak, Krzysztof Kotowski, Alicja Musiał, David Evans, Vladimir Zelenevskiy, Sam Bammens, Rodrigo Laurinovics
Poster Session-Nalepa-Toward on-board detection of anomalous events from OPS-SAT telemetry using deep learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::541db8720bc715dd4efedf571d8688a7
Publikováno v:
Journal of Ambient Intelligence and Smart Environments. 12:407-418
This paper presents a detection method of Alternaria solani in tomatoes. Several machine learning models were used to detect the pathogen, such as the implementation of decision trees and ensemble learning methods. The use of these methods requires t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a657fbb22e17f322bd133346b7731972
https://doi.org/10.3233/ais-200573
https://doi.org/10.3233/ais-200573