Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Jens Michael Carstensen"'
Autor:
Anastasia Lytou, Lemonia-Christina Fengou, Antonis Koukourikos, Pythagoras Karampiperis, Panagiotis Zervas, Aske Schultz Carstensen, Alessia Del Genio, Jens Michael Carstensen, Nette Schultz, Nikos Chorianopoulos, George-John Nychas
Publikováno v:
Journal of Food Protection, Vol 87, Iss 10, Pp 100274- (2024)
Monitoring food quality throughout the supply chain in a rapid and cost-effective way allows on-time decision−making, reducing food waste, and increasing sustainability. A portable multispectral imaging sensor was used for the rapid prediction of m
Externí odkaz:
https://doaj.org/article/9906ce5631a24aea9f04722fb22ea785
Autor:
Nicole Ollinger, Bernhard Blank-Landeshammer, Lisa Schütz-Kapl, Angeline Rochard, Iris Pfeifenberger, Jens Michael Carstensen, Manfred Müller, Julian Weghuber
Publikováno v:
Foods, Vol 13, Iss 11, p 1693 (2024)
Palm oil has a bad reputation due to the exploitation of farmers and the destruction of endangered animal habitats. Therefore, many consumers wish to avoid the use of palm oil. Decorative sugar contains a small amount of palm oil to prevent the sugar
Externí odkaz:
https://doaj.org/article/d62f671211074240a4749bf6b616a4e5
Autor:
Dragana Bartolić, Dragosav Mutavdžić, Jens Michael Carstensen, Slavica Stanković, Milica Nikolić, Saša Krstović, Ksenija Radotić
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract Cereal seeds safety may be compromised by the presence of toxic contaminants, such as aflatoxins. Besides being carcinogenic, they have other adverse health effects on humans and animals. In this preliminary study, we used two non-invasive o
Externí odkaz:
https://doaj.org/article/a46e8f01875844599977c50425364554
Autor:
Dimitrios Kolosov, Lemonia-Christina Fengou, Jens Michael Carstensen, Nette Schultz, George-John Nychas, Iosif Mporas
Publikováno v:
Sensors, Vol 23, Iss 9, p 4233 (2023)
Spectroscopic sensor imaging of food samples meta-processed by deep machine learning models can be used to assess the quality of the sample. This article presents an architecture for estimating microbial populations in meat samples using multispectra
Externí odkaz:
https://doaj.org/article/1b8669b84e904425912e9b55d91d8af8
Autor:
Vitor de Jesus Martins Bianchini, Gabriel Moura Mascarin, Lúcia Cristina Aparecida Santos Silva, Valter Arthur, Jens Michael Carstensen, Birte Boelt, Clíssia Barboza da Silva
Publikováno v:
Plant Methods, Vol 17, Iss 1, Pp 1-13 (2021)
Abstract Background The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterizatio
Externí odkaz:
https://doaj.org/article/854fd6983d2f44978ff1cb17e31c8f06
Publikováno v:
Journal of Spectral Imaging, Vol 3, p a1 (2012)
Currently, no objective method exists for estimating the rate of change in the colour of meat. Consequently, the purpose of this work is to develop a procedure capable of monitoring the change in colour of meat over time, environment and ingredients.
Externí odkaz:
https://doaj.org/article/c23bfbcd1a2049769b316ea69b36cdba
The following deliverable aims at giving an overview of the planning and development process for the Videometer handheld instrument: the VideometerLite. The device, together with the image processing software, the VideometerLab Software, have been ut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::608f847836c51de3d17f7e2442a39391
Autor:
Gabriel Moura Mascarin, Jens Michael Carstensen, Valter Arthur, Vitor de Jesus Martins Bianchini, Lucia Cristina Aparecida Santos Silva, Clíssia Barboza da Silva, Birte Boelt
Publikováno v:
Bianchini, V D J M, Mascarin, G M, Silva, L C A S, Arthur, V, Carstensen, J M, Boelt, B & Barboza da Silva, C 2021, ' Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality ', Plant Methods, vol. 17, no. 1, 9 . https://doi.org/10.1186/s13007-021-00709-6
Plant Methods, Vol 17, Iss 1, Pp 1-13 (2021)
Plant Methods
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Plant Methods, Vol 17, Iss 1, Pp 1-13 (2021)
Plant Methods
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Background The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24045c386b26e5f5a23661f17d2afedc
https://orbit.dtu.dk/en/publications/bb141b53-fc66-4d46-91aa-3a9d704a645f
https://orbit.dtu.dk/en/publications/bb141b53-fc66-4d46-91aa-3a9d704a645f
Publikováno v:
Plant and Soil. 441:657-672
Roots are vital organs for plants, but the assessment of root traits is difficult, particularly in deep soil layers under natural field conditions. A popular technique to investigate root growth under field or semi-field conditions is the use of mini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc169e3cc67b83cf4425d6414f8a7f53
https://doi.org/10.1007/s11104-019-04132-8
https://doi.org/10.1007/s11104-019-04132-8
Publikováno v:
European Journal of Pharmaceutics and Biopharmaceutics. 119:447-453
The applicability of multispectral ultraviolet (UV) imaging in combination with multivariate image analysis was investigated to monitor API degradation within multiple unit pellet system (MUPS) tablets during storage. For this purpose, acetylsalicyli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbaf31b18cfdecbfdfb6cccb066fd18d
https://doi.org/10.1016/j.ejpb.2017.08.002
https://doi.org/10.1016/j.ejpb.2017.08.002