Výsledky vyhledávání - "Martin Wutke"

Akademický článek

Investigation of Pig Activity Based on Video Data and Semi-Supervised Neural Networks

Autor: Martin Wutke, Armin Otto Schmitt, Imke Traulsen, Mehmet Gültas

Publikováno v: AgriEngineering, Vol 2, Iss 4, Pp 581-595 (2020)

The activity level of pigs is an important stress indicator which can be associated to tail-biting, a major issue for animal welfare of domestic pigs in conventional housing systems. Although the consideration of the animal activity could be essentia

Externí odkaz: https://doaj.org/article/e16a1e07672b41ce8ede1f7447a2578a

Zobrazit plný text záznamu

Akademický článek

Detecting Animal Contacts—A Deep Learning-Based Pig Detection and Tracking Approach for the Quantification of Social Contacts

Autor: Martin Wutke, Felix Heinrich, Pronaya Prosun Das, Anita Lange, Maria Gentz, Imke Traulsen, Friederike K. Warns, Armin Otto Schmitt, Mehmet Gültas

Publikováno v: Sensors, Vol 21, Iss 22, p 7512 (2021)

The identification of social interactions is of fundamental importance for animal behavioral studies, addressing numerous problems like investigating the influence of social hierarchical structures or the drivers of agonistic behavioral disorders. Ho

Externí odkaz: https://doaj.org/article/1b25f2a545b4466b9a69717a97227715

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Decision Strategies for Absorbance Readings from an Enzyme-Linked Immunosorbent Assay—A Case Study about Testing Genotypes of Sugar Beet (Beta vulgaris L.) for Resistance against Beet Necrotic Yellow Vein Virus (BNYVV)

Autor: Thomas M. Lange, Martin Wutke, Lisa Bertram, Harald Keunecke, Friedrich Kopisch-Obuch, Armin O. Schmitt

Publikováno v: Agriculture, Vol 11, Iss 10, p 956 (2021)

The Beet necrotic yellow vein virus (BNYVV) causes rhizomania in sugar beet (Beta vulgaris L.), which is one of the most destructive diseases in sugar beet worldwide. In breeding projects towards resistance against BNYVV, the enzyme-linked immunosorb

Externí odkaz: https://doaj.org/article/8a1dcb53ff9343c6b6ecf658e7bb867c

Zobrazit plný text záznamu

Identification of Regulatory SNPs Associated with Vicine and Convicine Content of

Autor: Felix, Heinrich, Martin, Wutke, Pronaya Prosun, Das, Miriam, Kamp, Mehmet, Gültas, Wolfgang, Link, Armin Otto, Schmitt

Publikováno v: Genes

Faba bean (Vicia faba) is a grain legume, which is globally grown for both human consumption as well as feed for livestock. Despite its agro-ecological importance the usage of Vicia faba is severely hampered by its anti-nutritive seed-compounds vicin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::df9d48eab02d3b7bf2aab0370dd48048
https://pubmed.ncbi.nlm.nih.gov/32516876

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání