Grant: CCI Applied Research and Development Grants
Collège communautaire du Nouveau-Brunswick
$80,000.00
Real-time Plant Nutrient Analysis and Crop Modelling for Optimized Fertilizer Efficiency in Agriculture: Canola, Corn, Wheat, Soybean
EF 2024-25
Résumé
Canada's agriculture and agri-food system is a major economic driver. Chemical fertilizers engage in agricultural production sufficient for the world's population. Their excessive use poses serious problems of soil, water and air contamination, soil degradation, and GHG emissions. Applying nutrients is tricky: too little and the soil cannot support healthy crops, while excessive or incorrect use can negatively impact the environment and farmers' operating costs. Crop growers, agronomists, retailers, and fertilizer manufacturers rely on laboratory soil and plant sample analysis to determine the nutrient needs of the crops to manage the use of fertilizers. Researchers use those data to monitor and draw conclusions from their experiments. Since plant composition changes rapidly, and crops can extend over vast areas, the speed, frequency, and volume of analyses influence the effectiveness of crop monitoring. Conventional laboratories do not allow quick decision-making. Poor fertilizer management in agriculture is mainly due to the lack of access to plant tissue analysis. This project aims to provide an effective tool for leaf nutrient analysis of major crops in Canada. Picketa Systems’ technology performs nutrient concentration analysis of plant tissue samples in near real-time, providing actionable insights that allow customers to manage their crop inputs effectively. It is accessible to everyone, and data collection is easier and less costly than in a laboratory. Picketa Systems' solution combines an optical sensor with cloud-based machine learning capabilities allowing logistic-free nutrient content analysis at the press of a button and without sample preparation. It allows monitoring of the nutrient profile of crops throughout the growing season and to react according to the 4Rs, with significant economic, social, and environmental benefits. This tool is fully in line with the national drive for quality crop production with reduced GHG emissions, precision, and regenerative agriculture that increases the soil's C storage capacity. Picketa Systems currently provides same-day plant tissue analysis for potato crops across Canada and in parts of the UK and the U.S. The company is working to increase sales in existing markets and generate sales in new markets by improving the scalability of the technology and supporting different crops. Through this project, Picketa Systems wants to partner with Innov to adapt its technology to canola, corn, wheat, and soybean.
Programme
CCI Applied Research and Development Grants
Bénéficiaire
Emplacement
New Brunswick, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CCARD-2023-00646
Name nom
Rahm, Kirsten
Department département
Innov - Bioeconomy division - Collège communautaire du Nouveau-Brunswick
Organization id
16037
Institution établissement
Collège communautaire du Nouveau-Brunswick
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
80000
Program id
CCARD
Program name en
CCI Applied Research and Development Grants
Program name fr
ICC Subventions de recherche et développement appliquée
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
nan
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
RDF4010202
Field of research list names en
Agronomy
Field of research list names fr
Agronomie
Socioeconomic objective list codes
RDS10899
Socioeconomic objective list names en
Agriculture, n.e.c.
Socioeconomic objective list names fr
Agriculture, n.c.a.
Application title
Real-time Plant Nutrient Analysis and Crop Modelling for Optimized Fertilizer Efficiency in Agriculture: Canola, Corn, Wheat, Soybean
Keywords
Agriculture; Agronomy; Plant nutrient analysis; Visible near-infrared spectrometers (VNIRS); Fertilizer management; Plant tissue nutrient content analysis
Application summary
Canada's agriculture and agri-food system is a major economic driver. Chemical fertilizers engage in agricultural production sufficient for the world's population. Their excessive use poses serious problems of soil, water and air contamination, soil degradation, and GHG emissions. Applying nutrients is tricky: too little and the soil cannot support healthy crops, while excessive or incorrect use can negatively impact the environment and farmers' operating costs. Crop growers, agronomists, retailers, and fertilizer manufacturers rely on laboratory soil and plant sample analysis to determine the nutrient needs of the crops to manage the use of fertilizers. Researchers use those data to monitor and draw conclusions from their experiments. Since plant composition changes rapidly, and crops can extend over vast areas, the speed, frequency, and volume of analyses influence the effectiveness of crop monitoring. Conventional laboratories do not allow quick decision-making. Poor fertilizer management in agriculture is mainly due to the lack of access to plant tissue analysis. This project aims to provide an effective tool for leaf nutrient analysis of major crops in Canada. Picketa Systems’ technology performs nutrient concentration analysis of plant tissue samples in near real-time, providing actionable insights that allow customers to manage their crop inputs effectively. It is accessible to everyone, and data collection is easier and less costly than in a laboratory. Picketa Systems' solution combines an optical sensor with cloud-based machine learning capabilities allowing logistic-free nutrient content analysis at the press of a button and without sample preparation. It allows monitoring of the nutrient profile of crops throughout the growing season and to react according to the 4Rs, with significant economic, social, and environmental benefits. This tool is fully in line with the national drive for quality crop production with reduced GHG emissions, precision, and regenerative agriculture that increases the soil's C storage capacity. Picketa Systems currently provides same-day plant tissue analysis for potato crops across Canada and in parts of the UK and the U.S. The company is working to increase sales in existing markets and generate sales in new markets by improving the scalability of the technology and supporting different crops. Through this project, Picketa Systems wants to partner with Innov to adapt its technology to canola, corn, wheat, and soybean.