Grant: Applied Research and Development Grants - Level 1
Mohawk College of Applied Arts and Technology
$24,926.00
Agricultural IoT - Micro-Weather Tracking & Herding Dogs Sensor Hardware & Mobile Application
EF 2019-20
Résumé
Schuyler Farms is a diversified farming operation that includes apples, sour cherries, sheep, and grains (corn, soybeans, and wheat. Their business challenges include detailed weather tracking, herd management, farm dog management, accurate crop input applications (ex: fungicide), and minimal data connectivity across the farm. Ontario produced more than $81 million in farm gate value of apples in 2017, and fungus and related impacts are a major threat those farm gate revenues. Accurate weather tracking with reliable long range sensors can help to accurately time fungicide applications, and reduce the rate of spraying. Mohawk College will collaborate with Schuyler Farms and QuaeNet Inc. to assess the technical feasibility of (a) using distributed weather monitoring systems to help reduce the application of fungicides in an apple orchard and (b) using asset tracking devices to monitor the location and activity of sheep herding dogs. Schuyler Farms' 4,000-acre farm operation utilizes Maremma dogs to help manage their sheep herd. This includes protecting from predators like coyotes. However, the dogs can travel a significant distance and require time to manage. GPS sensors on each of the dogs' collars connected to a mobile app will help the Schuyler Farms' team to manage their dogs and understand potential threats to the sheep herd. Mohawk will solve Schuyler Farms's business challenges with QuaeNet, LoRa sensors, and Mohawk's Wayne Visser, and Mohawk students in electronics and software to provide innovative solutions. The project outcomes will benefit Schuyler Farms, QuaeNet, Canadian fruit farms, and farm dog and sheep herd management across the country. The project work will have national benefits on the $224.6 million in apple farming by supporting the detailed understanding of weather impacts with LoRa sensors, and working towards more accurately fungicide by timing and amount. Further, QuaeNet's sensors and mobile apps will have tracking benefits for apple orchards and other fruit farming, as well as farm dogs across Canada.
Programme
Applied Research and Development Grants - Level 1
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
538696-2019
Name nom
Gage, Cristina
Department département
Head Office
Organization id
2189
Institution établissement
Mohawk College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2019
Award amount
24926
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
1209
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Agriculture
Area of application fr
Agriculture
Research subject code
2525
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Wireless communication systems
Research subject fr
Systèmes de télécommunications sans fil
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Agricultural IoT - Micro-Weather Tracking & Herding Dogs Sensor Hardware & Mobile Application
Keyword
NSERC
Application summary
Schuyler Farms is a diversified farming operation that includes apples, sour cherries, sheep, and grains (corn, soybeans, and wheat. Their business challenges include detailed weather tracking, herd management, farm dog management, accurate crop input applications (ex: fungicide), and minimal data connectivity across the farm. Ontario produced more than $81 million in farm gate value of apples in 2017, and fungus and related impacts are a major threat those farm gate revenues. Accurate weather tracking with reliable long range sensors can help to accurately time fungicide applications, and reduce the rate of spraying. Mohawk College will collaborate with Schuyler Farms and QuaeNet Inc. to assess the technical feasibility of (a) using distributed weather monitoring systems to help reduce the application of fungicides in an apple orchard and (b) using asset tracking devices to monitor the location and activity of sheep herding dogs. Schuyler Farms' 4,000-acre farm operation utilizes Maremma dogs to help manage their sheep herd. This includes protecting from predators like coyotes. However, the dogs can travel a significant distance and require time to manage. GPS sensors on each of the dogs' collars connected to a mobile app will help the Schuyler Farms' team to manage their dogs and understand potential threats to the sheep herd. Mohawk will solve Schuyler Farms's business challenges with QuaeNet, LoRa sensors, and Mohawk's Wayne Visser, and Mohawk students in electronics and software to provide innovative solutions. The project outcomes will benefit Schuyler Farms, QuaeNet, Canadian fruit farms, and farm dog and sheep herd management across the country. The project work will have national benefits on the $224.6 million in apple farming by supporting the detailed understanding of weather impacts with LoRa sensors, and working towards more accurately fungicide by timing and amount. Further, QuaeNet's sensors and mobile apps will have tracking benefits for apple orchards and other fruit farming, as well as farm dogs across Canada.