The LandCoM project aims to develop an automated method for evaluating by remote sensing the percentage of soil cover by crop residues and cover crops.
Develop and validate a method for analyzing satellite remote sensing images to distinguish and quantify in the early spring period the percentage of soil cover by grassland, cover crops and crop residues on a return of annual field crops.
Carried out in collaboration with INRS-ETE, the analytical approach of CarTéCoS is based on a three-scale methodology:
From 2021 to 2023
To provide information on the fertilizing value and environmental impact of spreading pig manure at different times, the project compared the effect of mineral fertilizer in early fall, late fall, and in the spring.
Showcase that will present and compare, in an impartial manner, a number of decision-support tools and technologies.
Researcher: Carl Boivin
Testing the efficacy of four biofungicides against Sclerotinia in soybeans.
Researcher: Luc Belzile