2 citations · 2 across the 4 of their papers we have counts for
5 papers
Acoustic Honeybee Queen-State Detection Under Unseen Conditions
Mahsa Abdollahi, Nico Coallier, Maxime Fraser Franco +1
Honeybee queen loss is a major threat to colony health, yet queen-status assessment remains largely manual and disruptive. Acoustic monitoring offers a non-invasive alternative by…
Improved Monitoring of Honey bee Colony Strength via Audio IoT Sensors, Modulation Tensorgrams and Recurrent Neural Networks
Mahsa Abdollahi, Yi Zhu, Heitor R. Guimarães +4
Honey bees (Apis mellifera) play a crucial role in agriculture and ecosystem stability as key pollinators of crops and wild plants. As such, monitoring hive strength remotely with…
BioME: A Resource-Efficient Bioacoustic Foundational Model for IoT Applications
Heitor R. Guimarães, Abhishek Tiwari, Mahsa Abdollahi +2
Passive acoustic monitoring has become a key strategy in biodiversity assessment, conservation, and behavioral ecology, especially as Internet-of-Things (IoT) devices enable contin…
UrBAN: Urban Beehive Acoustics and PheNotyping Dataset
Mahsa Abdollahi, Yi Zhu, Heitor R. Guimarães +4
In this paper, we present a multimodal dataset obtained from a honey bee colony in Montréal, Quebec, Canada, spanning the years of 2021 to 2022. This apiary comprised 10 beehives,…
MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees
Yi Zhu, Mahsa Abdollahi, Ségolène Maucourt +4
We present a longitudinal multi-sensor dataset collected from honey bee colonies (Apis mellifera) with rich phenotypic measurements. Data were continuously collected between May-20…