TY - CONF
T1 - A computer vision approach to monitoring the activity and well-being of honeybees
AU - Kachole, Sanket
AU - Hunter, Gordon
AU - Duran, Olga
N1 - Note: This work was supported by Kingston University.
Published in Iglesias, Carlos A., Novella, Jose Ignacio, Ricci, Alessandro, Pinto, Diego Rivera and Roman, Dumitru (eds.) (2020) Intelligent environments 2020. Amsterdam : IOS Press BV. Ambient Intelligence and Smart Environments, 28, pp. 152-161. ISBN: 9781643680903.
PY - 2020/7
Y1 - 2020/7
N2 - Honeybees, in their role as pollinators, are vital to both agriculture and the wider ecosystem. However, they have experienced a serious decline across much of the world over recent years. Monitoring their well-being, and taking appropriate action if that is in jeopardy, has thus become a matter of great importance. In this paper, we present an approach based on computer vision to monitor bee activity and motion in the vicinity of an entrance/exit to a hive, including identifying and counting the number of bees approaching or leaving the hive in a given image frame or sequence of image frames.
AB - Honeybees, in their role as pollinators, are vital to both agriculture and the wider ecosystem. However, they have experienced a serious decline across much of the world over recent years. Monitoring their well-being, and taking appropriate action if that is in jeopardy, has thus become a matter of great importance. In this paper, we present an approach based on computer vision to monitor bee activity and motion in the vicinity of an entrance/exit to a hive, including identifying and counting the number of bees approaching or leaving the hive in a given image frame or sequence of image frames.
KW - Computer science and informatics
UR - http://ebooks.iospress.nl/publication/54756
U2 - 10.3233/AISE200036
DO - 10.3233/AISE200036
M3 - Paper
T2 - IE 2020 : 16th International Conference on Intelligent Environments
Y2 - 20 July 2020 through 23 July 2020
ER -