Grant: Alliance Grants
Institut national de la recherche scientifique
$210,000.00
Precision Beekeeping and Selective Breeding of the Honey Bee Using Multimodal Signal Processing and Machine Learning
FY 2022-23
Summary
While mostly associated with honey production, honeybees play a more crucial role in agriculture as pollinators. In fact, nearly one third of the world's food is directly dependent on bee pollination. In Canada, beekeeping is an important agricultural industry, with bees being produced for sale, honey and other hive products, as well as delivering valuable pollination services. Over the last decade, however, bee colonies have been dying off at alarming rates. Two major factors that have been identified include the proliferation of the varroa destructor parasite, which spreads deadly viruses, and failing queen bees. Visual inspection of hives is the current existing practice of bee health monitoring. Opening a beehive, however, aggravates the colony, disrupts honeybee behavior, and limits the scope of what can be done. To overcome this limitation, Nectar Technologies Inc. has developed sensor-based technologies that are placed within hives and allow for remote assessment of the health of several hives simultaneously. To date, their solutions have relied on temperature and humidity sensors to monitor queen bee presence and on external scales to monitor hive weight, a correlate of hive health and honey production. This project aims to take this "Internet of Hives" platform to the next level. By partnering with the Centre de recherche en sciences animales de Deschambault (CRSAD, a commercial queen bee breeder) and integrating additional vibration, acoustic, and CO2 sensors within the hives, we propose to develop five key innovations: 1) build multimodal correlates of phenotypic colony performance traits to allow for remote queen performance monitoring and 2) genetic parameters to be used to select best performing colonies, 3) develop automated methods to measure colony activity and strength, 4) honey production and flow, and 5) hive health. The proposed system has the potential to be low-cost, durable, and reliable, thus will be accessible to all Canadian beekeepers, large or small. The proposed project will also allow for the discovery of new science behind honey bee dynamics and health monitoring. As such, significant societal, scientific, and economic benefits to Canada are expected.
Program
Alliance Grants
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
548872-2019
Name nom
Falk, Tiago TH
Department département
Énergie Matériaux Télécommunications, Centre - Montréal
Organization id
56
Institution établissement
Institut national de la recherche scientifique
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2019
Award amount
210000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2514
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Digital signal processing
Research subject fr
Traitement des signaux numériques
Installment
inst:3
Partie
1
Nb partie
3
Application title
Precision Beekeeping and Selective Breeding of the Honey Bee Using Multimodal Signal Processing and Machine Learning
Application summary
While mostly associated with honey production, honeybees play a more crucial role in agriculture as pollinators. In fact, nearly one third of the world's food is directly dependent on bee pollination. In Canada, beekeeping is an important agricultural industry, with bees being produced for sale, honey and other hive products, as well as delivering valuable pollination services. Over the last decade, however, bee colonies have been dying off at alarming rates. Two major factors that have been identified include the proliferation of the varroa destructor parasite, which spreads deadly viruses, and failing queen bees. Visual inspection of hives is the current existing practice of bee health monitoring. Opening a beehive, however, aggravates the colony, disrupts honeybee behavior, and limits the scope of what can be done. To overcome this limitation, Nectar Technologies Inc. has developed sensor-based technologies that are placed within hives and allow for remote assessment of the health of several hives simultaneously. To date, their solutions have relied on temperature and humidity sensors to monitor queen bee presence and on external scales to monitor hive weight, a correlate of hive health and honey production. This project aims to take this "Internet of Hives" platform to the next level. By partnering with the Centre de recherche en sciences animales de Deschambault (CRSAD, a commercial queen bee breeder) and integrating additional vibration, acoustic, and CO2 sensors within the hives, we propose to develop five key innovations: 1) build multimodal correlates of phenotypic colony performance traits to allow for remote queen performance monitoring and 2) genetic parameters to be used to select best performing colonies, 3) develop automated methods to measure colony activity and strength, 4) honey production and flow, and 5) hive health. The proposed system has the potential to be low-cost, durable, and reliable, thus will be accessible to all Canadian beekeepers, large or small. The proposed project will also allow for the discovery of new science behind honey bee dynamics and health monitoring. As such, significant societal, scientific, and economic benefits to Canada are expected.