Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Olubummo, D A"'
Publikováno v:
Journal of Applied Sciences and Environmental Management; Vol. 26 No. 10 (2022); 1713-1720
Segmenting objects such as herd of cattle in natural and cluttered images is among the herculean dense prediction tasks of computer vision application to agriculture. To achieve the segmentation goal, we based the segmentation on the model of single
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77d550c17432b506c95db0ab9858faac
https://doi.org/10.4314/jasem.v26i10.15
https://doi.org/10.4314/jasem.v26i10.15
Publikováno v:
Journal of Applied Sciences and Environmental Management; Vol. 26 No. 7 (2022); 1259-1262
Smart technologies have drastically reshaped the traditional methods of practicing agriculture as witnessed in husbandry. In this paper, a novel application of machine learning identification and classification of Muturu and Keteku cattle species in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63e364d69aae4374d1ac6867b72e3927
https://doi.org/10.4314/jasem.v26i7.11
https://doi.org/10.4314/jasem.v26i7.11
Petersen was the first published paper to address cattle biometrics and identification problem by suggesting a permanent cattle identification method based on nose print principles widely accepted today. His major concern was on proper identification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::bcc85b215725d85cd70deb25b8ce8193
https://zenodo.org/record/4453870
https://zenodo.org/record/4453870
Publikováno v:
IOP Conference Series: Earth & Environmental Science; 2021, Vol. 858, p1-9, 9p