Grant: Canada Research Chairs
University of Guelph
$200,000.00
Digital Agriculture
FY 2024-25
Summary
Developing a sustainable agri-food system is a pressing challenge as we must meet the needs of a growing global population while safeguarding the environment. While traditional practices have led to habitat reduction, soil degradation, air and water pollution, and vulnerability to our climate, data-driven smart agricultural practices have shown promise to address these challenges and increase agri-food productivity and resilience. Digital Agriculture or Precision Agriculture utilizes site-specific input management to optimize resource use and environmental impact, necessitating a comprehensive understanding of soil spatial variability. Unlike cost- and resource-expensive traditional measurement methods, sensor-driven measurements are quicker, more affordable, and spatially explicit and can generate large datasets for informed decision-making. Thus, integrated soil sensing and digital soil mapping hold promise for characterizing soil variability, optimizing soil management, and enhancing crop production. The proposed program aims to utilize, modify, and develop new digital tools such as sensors to address traditional data collection challenges and integrate sensor-collected data with conventional crop production practices to optimize resource use and decarbonize our production system for improved economy and sustainability. The proposed research program comprises eight objectives, encompassing field experiments, laboratory analyses, data processing, modeling, and tool development. Activities include efficient soil data collection, sensor data integration, processing and extracting value from the data, using data to improve agricultural decision-making, and developing decision support tools. Established connections with growers will be used to set up on-farm experiments for enhanced adoption of the outcomes and available and proposed (CFI) infrastructures will ensure the success of the project. The anticipated contributions include improved agricultural productivity, reduced environmental impact, and enhanced soil management. The research aligns with the institution's strategic research plan and is guided by an innovative framework encompassing data collection, analysis, and execution. Engagement with research users and communication of results will drive the practical implementation of research outcomes. The program aims to train 20 HQPs and gender equity, diversity, and inclusion will be driving principals in each mentoring phase.
Program
Canada Research Chairs
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CRC-2023-00057
Name nom
Biswas, Asim
Department département
School of Environmental Sciences - University of Guelph
Organization id
24
Institution établissement
University of Guelph
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
200000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF1050901
Field of research list names en
Geographic information system (GIS and GPS) applications
Field of research list names fr
Applications des systèmes d'information géographique (SIG et GPS)
Socioeconomic objective list codes
RDS10802
Socioeconomic objective list names en
Soils
Socioeconomic objective list names fr
Sols
Application title
Digital Agriculture
Keywords
Sustainable Soil Management; Digital Agriculture; Digital Soil Mapping; Soil Sensing; Precision Agriculture; Soil Physics; Environmental Management; Spatial data analytics; Agri-food Sustainability; Climate change
Application summary
Developing a sustainable agri-food system is a pressing challenge as we must meet the needs of a growing global population while safeguarding the environment. While traditional practices have led to habitat reduction, soil degradation, air and water pollution, and vulnerability to our climate, data-driven smart agricultural practices have shown promise to address these challenges and increase agri-food productivity and resilience. Digital Agriculture or Precision Agriculture utilizes site-specific input management to optimize resource use and environmental impact, necessitating a comprehensive understanding of soil spatial variability. Unlike cost- and resource-expensive traditional measurement methods, sensor-driven measurements are quicker, more affordable, and spatially explicit and can generate large datasets for informed decision-making. Thus, integrated soil sensing and digital soil mapping hold promise for characterizing soil variability, optimizing soil management, and enhancing crop production. The proposed program aims to utilize, modify, and develop new digital tools such as sensors to address traditional data collection challenges and integrate sensor-collected data with conventional crop production practices to optimize resource use and decarbonize our production system for improved economy and sustainability. The proposed research program comprises eight objectives, encompassing field experiments, laboratory analyses, data processing, modeling, and tool development. Activities include efficient soil data collection, sensor data integration, processing and extracting value from the data, using data to improve agricultural decision-making, and developing decision support tools. Established connections with growers will be used to set up on-farm experiments for enhanced adoption of the outcomes and available and proposed (CFI) infrastructures will ensure the success of the project. The anticipated contributions include improved agricultural productivity, reduced environmental impact, and enhanced soil management. The research aligns with the institution's strategic research plan and is guided by an innovative framework encompassing data collection, analysis, and execution. Engagement with research users and communication of results will drive the practical implementation of research outcomes. The program aims to train 20 HQPs and gender equity, diversity, and inclusion will be driving principals in each mentoring phase.