Maciej Zaborowicz

Prof. Maciej Zaborowicz

Poznan Univ Life Sci, Inst Biosyst Engn, Poznan, Poland
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Wojciech CzekałaWojciech Czekała
Wojciech Czekała
ALAndrzej Lewicki
Andrzej Lewicki
Patrycja PochwatkaPatrycja Pochwatka
Patrycja Pochwatka
ACAgnieszka Czekała
Agnieszka Czekała
Dawid WojcieszakDawid Wojcieszak
Dawid Wojcieszak
HWHanna Waliszewska
Hanna Waliszewska

20 April 2021 in Animals
Verified
Journal Article
Open access
PDF file
Przemysław RacewiczPrzemysław Racewicz
Przemysław Racewicz
ALAgnieszka Ludwiczak
Agnieszka Ludwiczak
ESEwa Skrzypczak
Ewa Skrzypczak
JSJoanna Składanowska-Baryza
Joanna Składanowska-Baryza
HBHanna Biesiada
Hanna Biesiada
PŚPiotr Ślósarz
Piotr Ślósarz
In recent years, there have been very dynamic changes in both pork production and pig breeding technology around the world. The general trend of increasing the efficiency of pig production, with reduced employment, requires optimisation and a comprehensive approach to herd management. One of the most important elements on the way to achieving this goal is to maintain animal welfare and health. The health of the pigs on the farm is also a key aspect in production economics. The need to maintain a high health status of pig herds by eliminating the frequency of different disease units and reducing the need for antimicrobial substances is part of a broadly understood high potential herd management strategy. Thanks to the use of sensors (cameras, microphones, accelerometers, or radio-frequency identification transponders), the images, sounds, movements, and vital signs of animals are combined through algorithms and analysed for non-invasive monitoring of animals, which allows for early detection of diseases, improves their welfare, and increases the productivity of breeding. Automated, innovative early warning systems based on continuous monitoring of specific physiological (e.g., body temperature) and behavioural parameters can provide an alternative to direct diagnosis and visual assessment by the veterinarian or the herd keeper.

1 January 2014 in Journal of Stored Products Research
Verified
Journal Article
Closed access
PBPiotr Boniecki
Piotr Boniecki
HPH. Piekarska-Boniecka
H. Piekarska-Boniecka
KŚK. Świerczyński
K. Świerczyński
Krzysztof KoszelaKrzysztof Koszela
Krzysztof Koszela
Maciej ZaborowiczMaciej Zaborowicz
Maciej Zaborowicz
JPJ. Przybył
J. Przybył

1 April 2016 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Closed access
Jacek DachJacek Dach
Jacek Dach
Krzysztof KoszelaKrzysztof Koszela
Krzysztof Koszela
PBPiotr Boniecki
Piotr Boniecki
Maciej ZaborowiczMaciej Zaborowicz
Maciej Zaborowicz
ALA. Lewicki
A. Lewicki
IBIreneusz Białobrzewski
Ireneusz Białobrzewski

1 January 2018 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Closed access
ABA. Bugała
A. Bugała
Maciej ZaborowiczMaciej Zaborowicz
Maciej Zaborowicz
PBPiotr Boniecki
Piotr Boniecki
DJD. Janczak
D. Janczak
Krzysztof KoszelaKrzysztof Koszela
Krzysztof Koszela
ALA. Lewicki
A. Lewicki

1 January 2015 in Computers and Electronics in Agriculture
Verified
Journal Article
Closed access
PBPiotr Boniecki
Piotr Boniecki
Krzysztof KoszelaKrzysztof Koszela
Krzysztof Koszela
HPH. Piekarska-Boniecka
H. Piekarska-Boniecka
JWJerzy Weres
Jerzy Weres
Maciej ZaborowiczMaciej Zaborowicz
Maciej Zaborowicz
BRB. Raba
B. Raba